GraphGPS: Navigating Graph Transformers

Recent Advances in Graph ML

Recipes for cooking the best graph transformers

In 2021, graph transformers (GT) won recent molecular property prediction challenges thanks to alleviating many issues pertaining to vanilla message passing GNNs. Here, we try to organize numerous freshly developed GT models into a single GraphGPS framework to enable general, powerful, and scalable graph transformers with linear complexity for all types of Graph ML tasks. Turns out, just a well-tuned GT is enough to show SOTA results on …

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