GraphNeuralNetworks-v0.6.22

GraphNeuralNetworks GraphNeuralNetworks-v0.6.22

Merged pull requests:

• Coloring refinement algorithm (#444) (@CarloLucibello)
• separate GNNGraphs from GNNlib (#446) (@CarloLucibello)
• Add possibility to pass weights to GCNConv (#447) (@aurorarossi)
• Add DCGRU temporal layer (#448) (@aurorarossi)
• temporarily reintegrate GNNGraphs tests (#449) (@CarloLucibello)
• CI for GNNGraphs.jl (#451) (@CarloLucibello)
• make GraphNeuralNetworks.jl depend on GNNGraphs.jl (#453) (@CarloLucibello)
• drop_nodes -> remove_nodes (#454) (@CarloLucibello)
• fix docs (#455) (@CarloLucibello)
• move mldatasets2gnngraph (#458) (@CarloLucibello)
• create GNNLux.jl package (#460) (@CarloLucibello)
• [GNNLux] GCNConv, ChebConv, GNNChain (#462) (@CarloLucibello)
• [GNNLux] more layers (#463) (@CarloLucibello)
• use GNNlib in GNN.jl (#464) (@CarloLucibello)
• [GNNlib] fix cuda ext (#465) (@CarloLucibello)
• tests for GNNlib (#466) (@CarloLucibello)
• fix docs (#467) (@CarloLucibello)
• [GNNLux] fix tests (#468) (@CarloLucibello)
• [GNNLux] more layers (#469) (@CarloLucibello)
• [GNNLux] TGCN temporal layer (#470) (@aurorarossi)
• [GNNLux] more layers pt. 3 (#471) (@CarloLucibello)
• [GNNGraphs] implement remove_edges(g, p) (#474) (@rbSparky)
• [GNNLux] Added SGConv (#475) (@rbSparky)
• fix dense test (#479) (@CarloLucibello)
• [GNNLux] Adding MegNetConv Layer (#480) (@rbSparky)
• rng instead of seed for rand_graph (#482) (@CarloLucibello)
• @functor ->@layer (#484) (@CarloLucibello)
• [GNNLux] Add A3TGCN temporal layer (#485) (@aurorarossi)
• [GNNLux] Add GConvLSTM, GConvGRU and DCGRU temporal layers (#487) (@aurorarossi)
• fix NNConv docs (#488) (@CarloLucibello)
• Add EvolveGCNO temporal layer (#489) (@aurorarossi)
• [GNNLux] updates for Lux v1.0 (#490) (@CarloLucibello)
• [GNNLux] Adding NNConv Layer (#491) (@rbSparky)
• [GNNLux] add GMMConv, ResGatedGraphConv (#494) (@CarloLucibello)
• move GraphNeuralNetworks to a single folder (#496) (@CarloLucibello)
• feat: add NeighborLoader (#497) (@askorupka)
• feat: add induced_subgraph functionality (#499) (@askorupka)
• [GNNLux] Adding SAGEConv Layer (#500) (@rbSparky)
• fix vector DataStore (#505) (@CarloLucibello)
• Documentation with MultiDocumenter.jl (#508) (@aurorarossi)
• Fix badge link (#509) (@aurorarossi)
• Passing multidocs workflows in PRs (#510) (@aurorarossi)
• [Docs] New introduction to monorepo (#512) (@aurorarossi)
• GNNLux docs start and general docs improvement (#513) (@aurorarossi)
• Add GNNLux docstrings (#515) (@aurorarossi)
• Add GNNLux temporal convolutional layers docstrings and docs (#516) (@aurorarossi)
• move GraphNeuralNetworks.jl to TestItems.jl (#517) (@CarloLucibello)
• more updates for the tests (#519) (@CarloLucibello)
• Remove preview docs (#520) (@aurorarossi)
• Add GNNLux training example in docs (#521) (@aurorarossi)
• Move NeighborLoader to GNNGraphs (#522) (@aurorarossi)
• Bump codecov/codecov-action from 4 to 5 (#525) (@dependabot[bot])
• add buildkite workflow (#526) (@CarloLucibello)
• buildkite AMDGPU (#529) (@CarloLucibello)
• buildkite for GNNlib + get_graph_type (#530) (@CarloLucibello)
• simplify documentation (#531) (@CarloLucibello)
• Add token to codecov action (#532) (@gdalle)
• revisit docs organization (#535) (@CarloLucibello)
• docs improvements (#539) (@CarloLucibello)
• updates to GNNLux for first release (#540) (@CarloLucibello)

Closed issues:

• plan for splitting the package (#450)
• use Flux.@layer instead of Flux.@functor (#452)
• consider using MultiDocumenter (#456)
• reinstate temporal graphs tutorials (#457)
• random graph generators should take an rng instead of a seed (#459)
• plan for GNNLux.jl (#461)
• Cannot create GNNGraph with unconnected nodes (#472)
• Implementation of recommender system based on GNN (#473)
• GNNs.jl's CI is failing for GRAPH_T = :dense (#476)
• move all tests to TestItems.jl and TestItemsRunner.jl (#477)
• document the monorepo structure and the package dependencies (#483)
• GCNConv layer fails when the GNNGraph comes from an adjacency matrix (#486)
• move GraphNeuralNetworks.jl to its own folder (#495)
• Comparison to GeometricFlux.jl (#502)
• Overriding Base.getproperty(vds::Vector{DataStore}, s::Symbol) conflicts A.ref usage in julia (#504)
• move repo to JuliaGraphs org (#506)
• move NeighborLoader to GNNGraphs (#507)
• coverage not displayed in readme (#528)
• [docs] move tutorials to GraphNeuralNetworks.jl package (#533)