Releases: JuliaGraphs/GraphNeuralNetworks.jl
Releases · JuliaGraphs/GraphNeuralNetworks.jl
v0.4.4
GraphNeuralNetworks v0.4.4
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
v0.4.2
GraphNeuralNetworks v0.4.2
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
Closed issues:
Merged pull requests:
- SGConv (#154) (@rbSparky)
- support for MLDatasets v0.6 (#164) (@CarloLucibello)
v0.4.0
GraphNeuralNetworks v0.4.0
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
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
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
Closed issues:
- Failure to combine
SparseDiffTools.autoback_hesvec
andGCNConv
(#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
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
Merged pull requests:
- CompatHelper: bump compat for NNlibCUDA to 0.2, (keep existing compat) (#120) (@github-actions[bot])
- implement hash for GNNGraph (#121) (@CarloLucibello)