v0.4.4

GraphNeuralNetworks v0.4.4

Diff since v0.4.3

Closed issues:

• Inaccurate GATv2Conv Documentation (#175)

Merged pull requests:

• fixing CI for pluto tutorials (#174) (@CarloLucibello)
• Documentation fixes for GATv2Conv (#176) (@Animiral)

v0.4.3

GraphNeuralNetworks v0.4.3

Diff since v0.4.2

Merged pull requests:

• add Pluto tutorials (#172) (@CarloLucibello)

v0.4.2

GraphNeuralNetworks v0.4.2

Diff since v0.4.1

Closed issues:

• message passing for multiple feature arrays (#166)

Merged pull requests:

• edges iterates over Graphs.Edge (#171) (@CarloLucibello)

v0.4.1

GraphNeuralNetworks v0.4.1

Diff since v0.4.0

Closed issues:

• GSoC 2022 (#157)
• Open Graph Benchmark integration (#162)

Merged pull requests:

• SGConv (#154) (@rbSparky)
• support for MLDatasets v0.6 (#164) (@CarloLucibello)

v0.4.0

GraphNeuralNetworks v0.4.0

Diff since v0.3.15

Closed issues:

• hope can load dataset with GraphMLDatasets.jl (#149)
• GPU memory filling up (#150)
• Citing GraphNeuralNetworks.jl (#151)

Merged pull requests:

• Citing (#152) (@CarloLucibello)
• MLUtils and Flux v0.13 compatibility (#155) (@CarloLucibello)

v0.3.15

GraphNeuralNetworks v0.3.15

Diff since v0.3.14

Merged pull requests:

• better printing for GNNGraphs and check that features are arrays (#145) (@CarloLucibello)
• Added GMMConv (#147) (@melioristic)
• Update conv.md (#148) (@melioristic)

v0.3.14

GraphNeuralNetworks v0.3.14

Diff since v0.3.13

Closed issues:

• Explainer vs GeometricFlux (#81)
• Gradient of edge weights is nothing with fused e_mul_xj (#113)
• Roadmap to merge GeometricFlux.jl and GraphNeuralNetworks.jl (#132)
• Failed to compile PTX code (#133)
• GINConv not working on GPU when not all nodes are connected (#138)
• Batchnorm for Integers after GCNConv or GINConv on GPU (#140)
• Slow interaction with DataLoader (#141)

Merged pull requests:

• differentiable adjacency_matrix and degree (#123) (@CarloLucibello)
• remove cast rrule not needed anymore (#135) (@CarloLucibello)
• handle isolated nodes (#139) (@CarloLucibello)
• dataloader support for vector of graphs (#143) (@CarloLucibello)

v0.3.13

GraphNeuralNetworks v0.3.13

Diff since v0.3.12

Closed issues:

• Failure to combine SparseDiffTools.autoback_hesvec and GCNConv (#125)
• Support edge attributes in as many layers as possible (#128)

Merged pull requests:

• Improve support in conv layers for edge features (#130) (@CarloLucibello)
• GATv2 fix with edge features + doc improves (#131) (@CarloLucibello)

v0.3.12

GraphNeuralNetworks v0.3.12

Diff since v0.3.11

Closed issues:

• batching scales quadratically (#99)
• aggregate_neighbors() is 100x slower than equivalent sparse matrix operation (#124)
• GATv2Conv show method errors (#126)

Merged pull requests:

• faster batching (#122) (@CarloLucibello)
• fix GATv2Conv show (#129) (@CarloLucibello)

v0.3.11

GraphNeuralNetworks v0.3.11

Diff since v0.3.10

Merged pull requests:

• CompatHelper: bump compat for NNlibCUDA to 0.2, (keep existing compat) (#120) (@github-actions[bot])
• implement hash for GNNGraph (#121) (@CarloLucibello)