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Given the recent popularity of graph convolutional neural networks (i.e. https://github.com/tkipf/gcn), would it be worth implementing a swift paradigmatic version? I have a semi-working version, but …
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### Please describe the purpose of the feature. Is it related to a problem?
I am inquiring about possibly integrating JAX-based Graph Neural Networks (GNNs) into MAVA for use in MARL. Many MARL algor…
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[On the Ethereum blockchain structure: A complex networks theory perspective](https://doi.org/10.1002/cpe.5493) 2019 Journal Concurrency and Computation: Practice and Experience
Network of Ethereum A…
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#### Is your feature request related to a problem? Please describe.
This is my use case - I have a geodataframe with a bunch of linestring geometry. While I can visualize that with geodataframe.hvplo…
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## Published
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
KDD 2018
## Summary
画像データにおいてCNNが高精度を達成し、非常に大きな影響を与えている。画像データはグラフデータの特定のケースとみなすことができるため、グラフデータに対しても工夫をすることでCNNが適用できると考えられる。
したがって、この論文では…
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### Discussed in https://github.com/pyg-team/pytorch_geometric/discussions/3455
Originally posted by **akpas001** November 8, 2021
I need to train a Gnn based on the data of pre existing next…
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Testing new GNN architectures could be helpful to improve the results.
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Hey, I really like your work on rank-collapse, and I am trying to understand the way the Dirichlet energy and rank_diff are calculated for each layer for each GNN.
From looking at the code, I under…