reinstate the TemporalBrains tutorial
Maintainers usually reply within 2 days
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- julia
- Domain
- documentation, machine-learning
Research direction
Read GraphNeuralNetworks/docs/old_tutorials/temporal_graph_classification.jl and issue #602 to understand what was removed and why. Check the tutorial's dataset and CI requirements, then measure the additional CI time; done means documenting whether it can be reintegrated or whether a smaller MLDatasets.jl version is needed.
Written by the indexing model from the issue text.
Description
It has been removed in #602 since the dataset takes too long to download. It can be found in GraphNeuralNetworks/docs/old_tutorials/temporal_graph_classification.jl. We can try to reintegrate it and see how much additional CI time it would take, than decide if we want it or not.
As an alternative, maybe a smaller version of the dataset can be added to MLDatasets.jl
- Dominant language
- Julia
- Stars
- 310
- Forks
- 75
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 10
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
More from JuliaGraphs/GraphNeuralNetworks.jl
-
GNNLux MEGNetConv drops the state of stateful sublayersPossibly taken A pull request linked to this issue is open or already merged. Openlux
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
JuliaGraphs/GraphNeuralNetworks.jl#732 ·
Maintainers usually reply within 2 days
-
gnngraphs
Difficulty 4/5 3-5 days Newbie friendliness 45/100
JuliaGraphs/GraphNeuralNetworks.jl#733 ·
Maintainers usually reply within 2 days
-
Unused output of node type leads to index error in ZygotePossibly taken @lenianiva claimed this 2 days ago. Open
Difficulty 3/5 1-2 days Newbie friendliness 35/100
JuliaGraphs/GraphNeuralNetworks.jl#731 ·
Maintainers usually reply within 2 days
-
maintainance
Difficulty 3/5 1-2 days Newbie friendliness 45/100
JuliaGraphs/GraphNeuralNetworks.jl#725 ·
Maintainers usually reply within 2 days
-
GCNConv fails to compile with Reactant - MethodErrorPossibly taken @DHAKED440 claimed this 5 days ago. Opengnnlib lux
Difficulty 3/5 1-2 days Newbie friendliness 68/100
JuliaGraphs/GraphNeuralNetworks.jl#710 ·
Maintainers usually reply within 2 days
All issues in JuliaGraphs/GraphNeuralNetworks.jl
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
Maintainers usually reply within 1 day
-
Difficulty 1/5 1-3 hours Newbie friendliness 86/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
FluxML/Metalhead.jl#407 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 62/100
-
Difficulty 1/5 Under an hour Newbie friendliness 88/100
SciML/ModelingToolkit.jl#5371 ·
Maintainers usually reply within 2 days