Summary:
The State-of-the-Art Digest on Graph & Geometric ML in 2024, Part I focuses on theory, architectures, and advancements. Groundbreaking developments include the rise of Graph Transformers, insights into their expressiveness, advancements in positional encoding, new datasets and benchmarks in various domains, community events, educational resources, and memorable memes of 2023. The comprehensive digest features interviews, theoretical explorations, predictions, and highlights of the past year.
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Graph & Geometric ML in 2024: Where We Are and What’s Next (Part I — Theory & Architectures)
State-of-the-Art Digest
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