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Add comments and groups to ODE-GNN workspace.
Browse files- examples/ODE-GNN.lynxkite.json +516 -111
examples/ODE-GNN.lynxkite.json
CHANGED
@@ -119,13 +119,6 @@
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"target": "Graph conv 2",
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"targetHandle": "edges"
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},
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{
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"id": "Graph conv 2 x Heterogeneous graph conv 1 cases",
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"source": "Graph conv 2",
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"sourceHandle": "x",
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"target": "Heterogeneous graph conv 1",
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"targetHandle": "cases"
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},
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{
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"id": "Input: tensor 3 output Embedding 1 x",
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"source": "Input: tensor 3",
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@@ -255,6 +248,119 @@
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],
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"env": "PyTorch model",
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"nodes": [
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{
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"data": {
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"__execution_delay": 0.0,
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@@ -313,13 +419,16 @@
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"status": "done",
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"title": "Graph conv"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Graph conv 1",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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@@ -376,13 +485,16 @@
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"status": "done",
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"title": "Repeat"
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"dragHandle": ".
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"height": 200.0,
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"id": "Repeat 1",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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@@ -429,7 +541,7 @@
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"status": "done",
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"title": "Concatenate"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Concatenate 1",
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"position": {
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@@ -477,18 +589,23 @@
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"status": "done",
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"title": "Input: graph edges"
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"dragHandle": ".
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"height": 179.0,
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"id": "Input: graph edges 1",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 255.0
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{
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"data": {
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"display": null,
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"error": null,
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"input_metadata": null,
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@@ -536,13 +653,16 @@
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"status": "done",
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"title": "Activation"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Activation 1",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 200.0
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},
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@@ -608,13 +728,16 @@
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"status": "done",
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"title": "LSTM"
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},
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"dragHandle": ".
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"height": 312.0,
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"id": "LSTM 1",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 204.0
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@@ -651,18 +774,21 @@
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"type": "basic"
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"params": {
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"name": "future volumes"
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"status": "done",
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"title": "Input: sequential"
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"dragHandle": ".
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"height": 176.0,
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"id": "Input: sequential 1",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 230.0
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},
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@@ -709,13 +835,16 @@
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"status": "done",
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"title": "MSE loss"
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"dragHandle": ".
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"height": 200.0,
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"id": "MSE loss 1",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 200.0
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@@ -773,13 +902,16 @@
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"status": "done",
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"title": "Optimizer"
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"dragHandle": ".
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"height": 247.0,
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"id": "Optimizer 1",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 190.0
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},
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@@ -821,13 +953,16 @@
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"status": "done",
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"title": "Input: tensor"
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"dragHandle": ".
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"height": 200.0,
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"id": "Input: tensor 1",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 200.0
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@@ -869,12 +1004,12 @@
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"status": "done",
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"title": "Input: sequential"
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"dragHandle": ".
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"height": 206.0,
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"id": "Input: sequential 2",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 237.0
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@@ -989,12 +1124,12 @@
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"mlp_activation": "ReLU",
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"mlp_hidden_size": "64",
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"mlp_layers": "3",
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"relative_tolerance": "0.001"
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},
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"status": "done",
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"title": "Neural ODE with MLP"
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"dragHandle": ".
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"height": 531.0,
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"id": "Neural ODE with MLP 1",
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"position": {
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@@ -1042,13 +1177,16 @@
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"status": "done",
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"title": "Input: sequential"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Input: sequential 3",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 200.0
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"type": "basic"
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"params": {
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"name": "current volume"
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},
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"status": "done",
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"title": "Input: tensor"
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"dragHandle": ".
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"height": 200.0,
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"id": "Input: tensor 2",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 200.0
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"status": "done",
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"title": "Output"
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"dragHandle": ".
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"height": 155.0,
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"id": "Output 1",
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"position": {
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@@ -1202,13 +1340,16 @@
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"status": "done",
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"title": "Linear"
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"dragHandle": ".
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"height": 200.0,
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"id": "Linear 1",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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"status": "done",
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"title": "Concatenate"
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"dragHandle": ".
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"height": 200.0,
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"id": "Concatenate 2",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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"status": "done",
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"title": "Concatenate"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Concatenate 3",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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"status": "done",
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"title": "Graph conv"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Graph conv 2",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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"status": "done",
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"title": "Input: tensor"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Input: tensor 3",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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"status": "done",
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"title": "Input: graph edges"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Input: graph edges 2",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 200.0
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},
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"edge_modules_order": "disease-assoc-gene, drug-targets-gene",
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"node_embedding_order": "gene, disease, drug",
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"node_embeddings": "gene, disease, drug",
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"node_embeddings_order": "gene, disease, drug"
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},
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"status": "done",
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"title": "Heterogeneous graph conv"
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},
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"dragHandle": ".
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"height": 226.0,
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"id": "Heterogeneous graph conv 1",
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"position": {
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"x":
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"y":
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},
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"type": "basic",
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"width": 719.0
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},
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"status": "done",
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"title": "Graph conv"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Graph conv 3",
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"position": {
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"x":
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"y":
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"type": "basic",
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"width": 200.0
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"type": "basic"
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"params": {
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"embedding_dim": "64",
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"num_embeddings": "6"
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"status": "done",
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"title": "Embedding"
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"height": 227.0,
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"id": "Embedding 1",
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"status": "done",
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"title": "Embedding"
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"height": 237.0,
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"id": "Embedding 2",
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"type": "basic",
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"status": "done",
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"title": "Input: tensor"
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"height": 200.0,
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"id": "Input: tensor 4",
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"position": {
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"type": "basic",
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"status": "done",
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"title": "Input: graph edges"
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"dragHandle": ".
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"
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"id": "Input: graph edges 3",
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"position": {
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"type": "basic",
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"data": {
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"type": "basic"
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},
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"params": {
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"index": "disease"
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"status": "done",
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"title": "Pick element by constant"
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"dragHandle": ".
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"height": 200.0,
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"id": "Pick element by constant 1",
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"position": {
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"type": "basic",
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"status": "done",
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"title": "Pick element by constant"
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},
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"dragHandle": ".
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"height": 200.0,
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"id": "Pick element by constant 2",
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"position": {
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"type": "basic",
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"width": 270.0
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},
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"status": "done",
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"title": "Pick element by constant"
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},
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"dragHandle": ".
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"height": 197.0,
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"id": "Pick element by constant 3",
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"params": {
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"text": "# Past tumor volume embedding with LSTM"
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},
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"params": {
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"text": "# Gene-gene graph embedding"
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},
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"status": "done",
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"meta": {},
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"params": {
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"text": "# Learned initial drug & disease embeddings"
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},
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"status": "done",
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"meta": {},
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"params": {
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"text": "# Extracting the graph embedding\n\nWe mean-pool the node embeddings of each node type, then concatenate these vectors."
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},
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"collapsed": null,
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"display": null,
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"error": "Unknown operation.",
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"input_metadata": null,
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2464 |
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"meta": {},
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2465 |
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"params": {
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2466 |
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"text": "# Knowledge graph embedding with GNN\n\nThis heterogeneous graph convolution creates node embeddings for all genes, diseases, and drugs in the graph."
|
2467 |
+
},
|
2468 |
+
"status": "done",
|
2469 |
+
"title": "Comment"
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2470 |
+
},
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2471 |
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"dragHandle": ".drag-handle",
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2472 |
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"extent": "parent",
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"height": 206.0,
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2474 |
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"id": "Comment 5",
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2475 |
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"parentId": "Group 4",
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2476 |
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"position": {
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"x": 686.3753672347915,
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},
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"type": "comment",
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"width": 400.0
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},
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{
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"data": {
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"__execution_delay": 0.0,
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"collapsed": null,
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"display": null,
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2489 |
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"error": "Unknown operation.",
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2490 |
+
"input_metadata": null,
|
2491 |
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"meta": {},
|
2492 |
+
"params": {
|
2493 |
+
"text": "# Tumor volume trajectory predictions with ODE\n\nAn MLP is used to predict the derivative of the tumor volume at different stages, based on the knowledge graph embedding and the past tumor volume embeddings."
|
2494 |
+
},
|
2495 |
+
"status": "done",
|
2496 |
+
"title": "Comment"
|
2497 |
+
},
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2498 |
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"dragHandle": ".drag-handle",
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2499 |
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"height": 274.0,
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2500 |
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"id": "Comment 6",
|
2501 |
+
"position": {
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2502 |
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"x": -0.7721924881518737,
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2503 |
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"y": -865.6155529412208
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},
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2505 |
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"type": "comment",
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2506 |
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"width": 400.0
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2507 |
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},
|
2508 |
+
{
|
2509 |
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"data": {
|
2510 |
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"__execution_delay": 0.0,
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2511 |
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"collapsed": null,
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2512 |
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"display": null,
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2513 |
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"error": "Unknown operation.",
|
2514 |
+
"input_metadata": null,
|
2515 |
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"meta": {},
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2516 |
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"params": {
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2517 |
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"text": "# Training configuration\n\nThe loss for the whole model is simply the MSE loss over the future volume measurements."
|
2518 |
+
},
|
2519 |
+
"status": "done",
|
2520 |
+
"title": "Comment"
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2521 |
+
},
|
2522 |
+
"dragHandle": ".drag-handle",
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2523 |
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"extent": "parent",
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2524 |
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"height": 138.0,
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2525 |
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"id": "Comment 7",
|
2526 |
+
"parentId": "Group 5",
|
2527 |
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"position": {
|
2528 |
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"x": 276.18914557042024,
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"y": 267.8721350317928
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},
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2531 |
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"selected": false,
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2532 |
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"type": "comment",
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2533 |
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"width": 400.0
|
2534 |
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},
|
2535 |
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{
|
2536 |
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"data": {
|
2537 |
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"__execution_delay": 0.0,
|
2538 |
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"collapsed": null,
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2539 |
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"display": null,
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2540 |
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"error": "Unknown operation.",
|
2541 |
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"input_metadata": null,
|
2542 |
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"meta": {},
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2543 |
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"params": {
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2544 |
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"text": "## Disease-gene and drug-gene edges"
|
2545 |
+
},
|
2546 |
+
"status": "done",
|
2547 |
+
"title": "Comment"
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2548 |
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},
|
2549 |
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"dragHandle": ".drag-handle",
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2550 |
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"extent": "parent",
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2551 |
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"height": 74.0,
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2552 |
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"id": "Comment 8",
|
2553 |
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"parentId": "Group 4",
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2554 |
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"position": {
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"x": 1615.9956563920114,
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},
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"selected": false,
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2559 |
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"type": "comment",
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2560 |
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"width": 400.0
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2561 |
}
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2562 |
]
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2563 |
}
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