v0.6.19

GraphNeuralNetworks v0.6.19

Diff since v0.6.18

Merged pull requests:

• feat: Add GCNConv support for HeteroGraphConv (#367) (@askorupka)
• feat: support weights when generating from SimpleWeightedGraph (#371) (@askorupka)
• Add TemporalSnapshotsGNNgraph classification tutorial (#408) (@aurorarossi)
• Creating dropout functionality in the GATConv and GATv2Conv Layers (#411) (@achiverram28)
• chore: update docs (layers compatible with GNNHeterograph) (#413) (@askorupka)
• Added remove_edges function (#414) (@rbSparky)
• fix: remove SGConv GNNHeteroGraph support (#416) (@askorupka)
• fix: GCNConv support for GNNHeteroGraph (#417) (@askorupka)
• Added remove_nodes function (#420) (@rbSparky)
• CompatHelper: bump compat for KrylovKit to 0.7, (keep existing compat) (#421) (@github-actions[bot])
• Added TransformerConv usage example (#422) (@rbSparky)
• Fixes and more tests in remove_nodes function (#424) (@rbSparky)
• chore: Update docs for HeteroGNN support (#425) (@askorupka)
• Bump julia-actions/setup-julia from 1 to 2 (#431) (@dependabot[bot])

Closed issues:

• Weights not included in GNNGraph made from SimpleWeightedDiGraph (#85)

v0.6.18

GraphNeuralNetworks v0.6.18

Diff since v0.6.17

Merged pull requests:

• Add GATv2Conv support to HeteroGraphConv (#407) (@rbSparky)
• Remove duplicate of GINConv for TemporalSnapshotsGNNGraph (#409) (@aurorarossi)
• Fix ref in the docs (#410) (@aurorarossi)

Closed issues:

• Duplicated method definitions of GINConv (#406)

v0.6.17

GraphNeuralNetworks v0.6.17

Diff since v0.6.16

Merged pull requests:

• feat: Add empty constructor for GNNHeteroGraph (#358) (@askorupka)
• Bump actions/cache from 3 to 4 (#359) (@dependabot[bot])
• feat: add degree functionality for GNNHeteroGraph (#360) (@askorupka)
• Fix ref rand_temporal_hyperbolic_graph (#361) (@aurorarossi)
• Add Flux.gpu function for TemporalSnapshotsGNNGraph type (#362) (@aurorarossi)
• feat: Add CGConv support for HeteroGraphConv (#363) (@askorupka)
• feat: Add EdgeConv support for HeteroGraphConv (#364) (@askorupka)
• Remove f from CGConv signature (#365) (@aurorarossi)
• fix: Stylistic fixes (#366) (@askorupka)
• fix: fix typos in the docs (#368) (@askorupka)
• chore: optimize test for heterograph (#370) (@askorupka)
• refinement: Self loops for HeteroGraph returns g instead of error if src != tgt (#373) (@askorupka)
• Bump codecov/codecov-action from 3 to 4 (#374) (@dependabot[bot])
• Adapt GINConv to TemporalSnapshotsGNNGraphs (#376) (@aurorarossi)
• Fix link ref Heterographs (#378) (@aurorarossi)
• Update documentation for convolutions on TemporalSnapshotsGNNGraphs (#379) (@aurorarossi)
• g.ndata.e documentation fix in GNNGraph (#381) (@rbSparky)
• Add SGConv support for HeteroGraphConv (#383) (@rbSparky)
• Add SAGEConv support to HeteroGraphConv (#384) (@rbSparky)
• Error in docs (#385) (@rbSparky)
• Add GINConv support to HeteroGraphConv (#390) (@rbSparky)
• Add ResGatedGraphConv support to HeteroGraphConv (#391) (@rbSparky)
• Adapt 4 convolutions to TemporalSnapshotsGNNGraphs (#392) (@aurorarossi)
• Add more conv layers with TemporalSnapshotsGNNGraphs support (#393) (@rbSparky)
• Added Usage Examples for Graph Convolutional Layers (#396) (@rbSparky)
• Add example for gender classification on TemporalBrains dataset (#397) (@aurorarossi)
• Add GATConv support for HeteroGraphConv (#400) (@rbSparky)
• New add_self_loops(g) for hetero graphs (#402) (@rbSparky)
• Updating the gnngraphdocs.md (#403) (@achiverram28)

Closed issues:

• implement add_self_loops(g, edge_t) for heterographs (#329)
• add empty constructor for heterograph (#338)
• getgraph not working on GPU (#377)
• Example given for GNNGraph results in error (#380)
• Error in one of the examples in the Working with GNNGraph page (#401)

v0.6.16

GraphNeuralNetworks v0.6.16

Diff since v0.6.15

Merged pull requests:

• Add heterogeneous add_self_loop support (#345) (@AarSeBail)
• CompatHelper: bump compat for Adapt to 4, (keep existing compat) (#354) (@github-actions[bot])
• Custom Norm Func for GCNConv (#356) (@rbSparky)

Closed issues:

• GCNConv without normalization (#277)

v0.6.15

GraphNeuralNetworks v0.6.15

Diff since v0.6.14

Merged pull requests:

• example correction (#347) (@eahenle)
• CompatHelper: add new compat entry for Statistics at version 1, (keep existing compat) (#350) (@github-actions[bot])
• Set compatibilities for standard packages (#352) (@bicycle1885)
• Relax CUDA compatibility (#353) (@bicycle1885)

Closed issues:

• Error in Example Code (#346)
• Outdated default package installation (#348)
• View arrays on GPU cause scalar indexing error (#349)

v0.6.14

GraphNeuralNetworks v0.6.14

Diff since v0.6.13

Merged pull requests:

• batch wider eltype (#340) (@CarloLucibello)
• Remove type constraints on Flux.batch for GNNHeteroGraph (#342) (@AarSeBail)

Closed issues:

• The constraint in Flux.batch(gs::AbstractVector{<:GNNHeteroGraph}) does not seem to be strong enough (#341)

v0.6.13

GraphNeuralNetworks v0.6.13

Diff since v0.6.12

Closed issues:

• Edge weights not properly documented for GNNHeteroGraphs (and implement new function to add new edge weights?) (#331)

Merged pull requests:

• Bump actions/checkout from 3 to 4 (#336) (@dependabot[bot])
• improve add_edges for graph and heterographs (#337) (@CarloLucibello)
• extend reduce_nodes and graph_indicator for heterographs (#339) (@CarloLucibello)

v0.6.12

GraphNeuralNetworks v0.6.12

Diff since v0.6.11

Closed issues:

• Update Flux.trainable (#323)
• HeteroGraphConv bug: ERROR: duplicate field name in NamedTuple: "movie" is not unique (#332)
• add_edges for GNNHeteroGraph does not allow providing the number of nodes (#334)

Merged pull requests:

• Update Flux.trainable (#330) (@aurorarossi)
• Fix heteroconv aggregation + tests (#333) (@svilupp)
• fixes add_edges + adds tests (#335) (@svilupp)

v0.6.11

GraphNeuralNetworks v0.6.11

Diff since v0.6.10

Closed issues:

• AGNNConv behaviour different from mathematical definition (due to self loops) (#325)

Merged pull requests:

• Add temporal graph documentation (#327) (@aurorarossi)
• fix AGNNConv docstring and add other options (#328) (@CarloLucibello)

v0.6.10

GraphNeuralNetworks v0.6.10

Diff since v0.6.9

Merged pull requests:

• Add TGCNCell layer (#314) (@aurorarossi)
• Add Flux.Recur and TGCN (#319) (@aurorarossi)
• Fix typos and julia-repl text (#320) (@aurorarossi)
• Add traffic prediction example (#321) (@aurorarossi)
• Add A3TGCN model (#322) (@aurorarossi)
• Add traffic prediction tutorial (#324) (@aurorarossi)
• Julia repl rendering fix (#326) (@aurorarossi)