JuliaGraphs / JuliaGraphs/GraphNeuralNetworks.jl
Tracking convolution layers adapted to TemporalSnapshotsGNNGraphs
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temporalgraphs
- Dominant language
- Julia
- Stars
- 308
- Forks
- 74
- Avg merge
- 3d 6h
- Merged PRs (30d)
- 2
Description
Temporal Support for Graph Layers
This issue is meant to track the integration of temporal support for various graph layers. Each layer will be listed with a checkbox to indicate the progress of adding temporal support.
Checklist
- GCNConv (WIP PR #392)
- ChebConv (WIP PR #393)
- GraphConv (WIP PR #392)
- GATConv (WIP PR #393)
- GATv2Conv (WIP PR #393)
- GatedGraphConv (WIP PR #393)
- EdgeConv
- GINConv
- NNConv
- SAGEConv (WIP PR #392)
- ResGatedGraphConv (WIP PR #392)
- CGConv (WIP PR #393)
- AGNNConv
- MEGNetConv
- GMMConv
- SGConv (WIP PR #393)
- EGNNConv
- TransformerConv (WIP PR #393)
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the completed temporal-support work in PRs #392 and #393, then use the checklist to identify the remaining layers: EdgeConv, NNConv, AGNNConv, MEGNetConv, GMMConv, and EGNNConv. Done means temporal support has been integrated for those layers and the corresponding checklist entries can be marked complete.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100