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[Release] DGL v0.4 Release (Heterogeneous Graph Update)
We are thrilled to announce the 0.4 release! This includes:
A heterogeneous graph is a graph whose nodes and edges are typed:
This is a companion discussion topic for the original entry at https://www.dgl.ai/release/…
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3
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October 21, 2019
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Internal Message Passing Implementation
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4
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November 15, 2019
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Batching Heterogenous graphs
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4
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November 15, 2019
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Prediction of chemical properties
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11
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November 14, 2019
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Question about Alchemy dataset
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2
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November 14, 2019
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Does unbatch preserve the original order of the list of graphs
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3
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November 10, 2019
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Link prediction not only for knowledge graphs
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3
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November 9, 2019
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Attention Weights for A Specific Node
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3
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November 9, 2019
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How to plot the attention weights...?
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8
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November 9, 2019
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Multi-edge DGL graph to NetworkX graph--missing the multi-edge information, meanwhile, I cannot recover the DGL graph from induced NetworkX graph
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3
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November 7, 2019
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Efficient graph partition using edge attribute!
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7
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November 7, 2019
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Any Options for Non-numeric Graph Attributes?
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4
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November 7, 2019
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Aggregation in the source node instead of destination
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3
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November 7, 2019
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I run Transformer model in DGL and came across some error
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2
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November 7, 2019
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Randomwalk reported no successors from vertex
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2
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November 6, 2019
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Creating heterogeneous graphs with non-complete canonical types
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5
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November 5, 2019
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Question about test/validation in GAT PPI Example
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4
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November 5, 2019
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Message reduction for all edge types on heterogeneous graph
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3
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November 5, 2019
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Problem of RGCN batch sampling
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10
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November 4, 2019
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Generating trace/compute graph
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2
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November 4, 2019
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Beginner - questions on tutorial example 1 - how forward is applied in gradient descent
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2
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November 3, 2019
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Types of Graphs - classifications
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2
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November 3, 2019
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What's the best practice to train node embeddings for a big graph
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5
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November 1, 2019
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A question about distributed sampler
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5
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October 31, 2019
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Regarding coloring edges in GAT
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5
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October 31, 2019
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Releasing dgl version with cuda-10.1
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4
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October 27, 2019
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SAGEConv--- Error
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5
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October 30, 2019
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Approaching Graph Deep Learning - mapping vectors on lattice
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5
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October 29, 2019
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Convert BatchedDGL graph to cuda tensor
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3
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October 28, 2019
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Propagation at Test Time in RGCN for link prediction
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1
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October 28, 2019
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