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Releases: JuliaGraphs/GraphNeuralNetworks.jl

v0.6.3

09 Feb 11:30
62fbfbb
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GraphNeuralNetworks v0.6.3

Diff since v0.6.2

Closed issues:

  • Julia Formatter (#238)
  • Update documentation: Convolutional Layers (#255)

Merged pull requests:

  • add JuliaFormatter to Github Workflows (#253) (@pri1311)
  • fix conv table (#256) (@CarloLucibello)
  • CompatHelper: bump compat for CUDA to 4, (keep existing compat) (#257) (@github-actions[bot])

v0.6.2

05 Jan 00:28
d9c9441
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GraphNeuralNetworks v0.6.2

Diff since v0.6.1

Closed issues:

  • A Logo is needed (#35)

Merged pull requests:

  • faster unbatch (#248) (@CarloLucibello)
  • Add a transformer-like convolutional layer (#249) (@graidl)
  • Add new cache for changed notebooks! (#250) (@Dsantra92)
  • CompatHelper: bump compat for MLUtils to 0.4, (keep existing compat) (#252) (@github-actions[bot])

v0.6.1

28 Dec 16:04
2020e58
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GraphNeuralNetworks v0.6.1

Diff since v0.6.0

Closed issues:

  • Overflows in GATConv and GATv2Conv (#246)

Merged pull requests:

v0.6.0

23 Dec 18:13
cef37c6
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GraphNeuralNetworks v0.6.0

Diff since v0.5.2

Closed issues:

  • Heterogeneous graphs support (#144)
  • Support for Heterogeneous Graphs (#199)
  • Remove hard dependency on GraphNeuralNetworks from Pluto Notebooks (#204)
  • Generation of documentation is very slow because of Pluto (#227)
  • GNN.jl in tutorials (#228)
  • GNNGraph with multiple edge features not working (#243)

Merged pull requests:

v0.5.2

16 Nov 13:01
a8863e3
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GraphNeuralNetworks v0.5.2

Diff since v0.5.1

Closed issues:

  • NNConv tests are failing (#208)

Merged pull requests:

v0.5.1

09 Nov 18:52
45a14db
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GraphNeuralNetworks v0.5.1

Diff since v0.5.0

Closed issues:

  • Add tutorials written in Pluto (#168)
  • copy(::GNNGraph)? (#191)
  • Allow for additonal features in GNNGraph (#210)
  • support equivariant neural networks (#221)

Merged pull requests:

v0.5.0

03 Nov 09:45
3309dd3
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GraphNeuralNetworks v0.5.0

Diff since v0.4.5

Closed issues:

  • don't automatically batch when getobs from an array of graphs (#170)
  • Question about the GCNConv layer code (#211)
  • Support for multiple graphs in GNNGraph (#212)

Merged pull requests:

  • don't automatically batch graphs inside vector when using getobs (#183) (@CarloLucibello)
  • Node classification tutorial (#198) (@Dsantra92)
  • Fixed a few typos in notebooks, docs and docstrings (#205) (@pitmonticone)
  • Switch to DemoCards.jl (#206) (@Dsantra92)
  • temporarily remove NNConv tests (#209) (@CarloLucibello)
  • Switch to default pluto frontmatter (#214) (@Dsantra92)
  • CompatHelper: bump compat for KrylovKit to 0.6, (keep existing compat) (#216) (@github-actions[bot])
  • CompatHelper: bump compat for MLUtils to 0.3, (keep existing compat) (#217) (@github-actions[bot])

v0.4.5

30 Jul 07:59
afd80e8
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GraphNeuralNetworks v0.4.5

Diff since v0.4.4

Closed issues:

  • Construct Graphs.SimpleDiGraph graphs from GNNGraphs (#167)
  • add radius_graph api (#177)
  • knn_graph yields same results with or without self loops (#179)
  • Missing bounds checking when working on GPU (#181)
  • Spelling Error of edge? (#184)
  • Duplicate indexes in documents (#187)
  • Implement GraphWorld for fake graphs benchmarking (#188)
  • Some design issues (#193)
  • Flux destructure/restructure bug (#200)

Merged pull requests:

v0.4.4

28 May 11:26
78792f0
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GraphNeuralNetworks v0.4.4

Diff since v0.4.3

Closed issues:

  • Inaccurate GATv2Conv Documentation (#175)

Merged pull requests:

v0.4.3

25 May 05:52
6ff0ef4
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GraphNeuralNetworks v0.4.3

Diff since v0.4.2

Merged pull requests: