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Releases: JuliaGraphs/GraphNeuralNetworks.jl

GNNGraphs-v1.4.2

07 Feb 00:17
58fcd7d

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Diff since GNNGraphs-v1.4.1

Merged pull requests:

Closed issues:

  • GNNGraph default num_nodes to length of element of ndata (#581)
  • Can't have empty edata for graph with no edges (#582)

GNNlib-v1.0.1

12 Jan 16:40
4309da1

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Diff since GNNlib-v1.0.0

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GNNGraphs-v1.4.1

25 Dec 23:11
5a8172c

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Diff since GNNGraphs-v1.4.0

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GraphNeuralNetworks-v1.0.0

21 Dec 10:02
7e07564

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Diff since GraphNeuralNetworks-v0.6.23

Breaking Changes:

  • The temporal convolutional layers have been completely revised, both for adherence to the original papers (e.g. for the TGCN layer) and for compatibility with the new recurrence style in Flux v0.16

Merged pull requests:

Closed issues:

  • adapt to Flux v0.15 (#524)
  • correctness temporalgraph implementation (#548)

GNNlib-v1.0.0

21 Dec 09:28
91d27d3

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Diff since GNNlib-v0.2.5

Breaking Changes:

  • modified set2set_pool and gated_graph_conv to adapt to Flux's v0.16 new recurrence style

Merged pull requests:

Closed issues:

GNNGraphs-v1.4.0

21 Dec 05:19
15a220f

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Diff since GNNGraphs-v1.3.1

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GraphNeuralNetworks-v0.6.23

09 Dec 08:53
e85122d

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Diff since GraphNeuralNetworks-v0.6.22

Merged pull requests:

Closed issues:

  • Stack Layers in a HeteroGraphConv Model (#541)
  • [lux] add tutorials (#544)

GNNlib-v0.2.5

09 Dec 11:21
78f5dcb

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GNNlib GNNlib-v0.2.5

GNNlib-v0.2.4

09 Dec 11:12
bfc02ba

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GNNlib GNNlib-v0.2.4

GNNLux-v0.1.1

09 Dec 09:05
0219e10

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GNNLux GNNLux-v0.1.1

Diff since GNNLux-v0.1.0

Merged pull requests:

Closed issues:

  • [docs] move tutorials to GraphNeuralNetworks.jl package (#533)
  • Stack Layers in a HeteroGraphConv Model (#541)
  • [lux] add tutorials (#544)