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About the Questions category
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0
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209
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December 8, 2018
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Speed for RGCN on CPU and GPU
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1
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5
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October 29, 2020
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Steps in graphsage
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9
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88
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October 29, 2020
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Pending in "loss.backward" when running Distributed training example
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3
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34
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October 29, 2020
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Hypergraph structure
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2
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60
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October 29, 2020
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GATConv: mismatch between nodes and features
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9
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556
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October 29, 2020
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How to handle multiple graph lables
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2
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25
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October 29, 2020
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AttributeError: module 'dgl' has no attribute 'from_networkx'
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1
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11
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October 29, 2020
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Distribute train with sampler process occur error
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0
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15
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October 29, 2020
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Random_walk_with_restart cannot use with HeteroGraph?
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1
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17
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October 28, 2020
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Minibatching in message-passing GNN training
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1
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23
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October 27, 2020
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0.5.X user DistEmbedding occur Error
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6
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33
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October 27, 2020
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Unsupervised GraphSAGE(pool）model params become NAN
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14
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101
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October 27, 2020
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How to remove nodes from batched graph
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10
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38
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October 27, 2020
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Loss function for GCMC-like recommender system with implicit data
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2
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32
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October 26, 2020
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How to only exclude single-directional edge for EdgeDataLoader
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2
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28
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October 26, 2020
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About CrossEntropy implemented in ogbn-arxiv example code
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4
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35
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October 26, 2020
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Is there a way to add edge features when negative edge sampling?
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3
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27
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October 26, 2020
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Link Prediction Connected Edges end up More Dissimilar
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17
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79
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October 26, 2020
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KeyError of 'h' when using average pooling in evaluation mode
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4
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33
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October 26, 2020
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Unsupervised learning loss function
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3
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28
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October 26, 2020
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Distribute train with no feature occur error
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1
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25
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October 26, 2020
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Implement graph regression using GIN code
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1
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222
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October 25, 2020
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GPU Kernels while running graphsage model
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0
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23
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October 23, 2020
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Inductive binary node classification setup
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8
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39
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October 23, 2020
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Sending without reducing immediately with dgl >= 0.5
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3
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28
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October 23, 2020
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Is it possible to get pdf document
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1
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22
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October 23, 2020
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Tensor size of message in GraphSage
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1
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31
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October 23, 2020
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Func `metapath_reachable_graph` error with class `dgl.heterograph.DGLBlock`
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3
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32
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October 21, 2020
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GraphSage H2D happening before every step
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3
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33
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October 21, 2020
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