Linking pages
- Why I’m lukewarm on graph neural networks – Single Lunch https://www.singlelunch.com/2020/12/28/why-im-lukewarm-on-graph-neural-networks/ 47 comments
- The dark side of Graph Neural Networks https://www.appliedexploration.com/p/dark-side-of-graph-neural-nets 37 comments
- Transformers are Graph Neural Networks https://thegradient.pub/transformers-are-graph-neural-networks/ 25 comments
- Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab https://graphdeeplearning.github.io/post/transformers-are-gnns/ 19 comments
- Recent Advances in Efficient and Scalable Graph Neural Networks | Chaitanya K. Joshi https://www.chaitjo.com/post/efficient-gnns/ 10 comments
- A Comprehensive Case-Study of GraphSage using PyTorchGeometric and Open-Graph-Benchmark - ArangoDB https://www.arangodb.com/2021/08/a-comprehensive-case-study-of-graphsage-using-pytorchgeometric/ 0 comments
- GitHub - gordicaleksa/pytorch-GAT: My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples! https://github.com/gordicaleksa/pytorch-GAT 0 comments
- A peek into the world of data strategy #4 https://datastrategy.substack.com/p/a-peek-into-the-world-of-data-strategy 0 comments