Post #846

GraphML News (June 8th) - LOG’24, FoldFlow 2, more new papers 🎙️The biggest announcement of the week is that the virtual LOG’24 actually happens before going physical at UCLA in 2025. The dates are Nov 26-29th 2024, and submission deadline is September 11th. LOG is known for a much higher review quality - a considerable part of the whole budget is dedicated to monetary rewards for reviewers (one of the few events that ever appreciate good reviews). 🧬 The Dreamfold team announced FoldFlow 2 - an improved version of the protein structure generative model that made Riemannian flow matching a mainstream topic. FoldFlow 2 adds an ESM2 encoder for protein sequences and is trained on a much bigger dataset (featuring filtered synthetic structures from SwissProt and AlphaFold 2 DB). Experimentally, FoldFlow 2 substantially improves over previous SOTA big guys, RFDiffusion and Chroma, on unconditional and conditional (motif scaffolding) generation tasks. Besides, it’s never too late to remind that Federico Errica is hiring interns and visiting researchers at NEC Labs in Heidelberg. 📚 The weeks after the NeurIPS deadline continue to bring cool submissions and accepted ICML papers! - Topological GNNs went equivariant all the way: Topological Neural Networks go Persistent, Equivariant, and Continuous (ICML’24) by Yogesh Verma et al E(n) Equivariant Topological Neural Networks by Claudio Battirolo et al E(n) Equivariant Message Passing Cellular Networks by Veliko Kovač et al feat Erik Bekkers - Theory on graph transformers and spectral GNNs (all will be at ICML’24) What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding by Hongkang Li et al Aligning Transformers with Weisfeiler–Leman by Luis Müller and Chris Morris On the Expressive Power of Spectral Invariant Graph Neural Networks by Bohang Zhang et al feat. Haggai Maron - Transformers through the graph lens (both featuring Petar Veličković) Transformers need glasses! Information over-squashing in language tasks by Federico Barbero et al - the old friend over-squashing is confirmed to be present in transformers The CLRS-Text Algorithmic Reasoning Language Benchmark by Markeeva, McLeish, Ibarz et al - the text version of CLRS for all you LLM folks, a fresh unsaturated benchmark - Combinatorial optimization with GNNs Towards a General GNN Framework for Combinatorial Optimization by Frederik Wenkel, Semih Cantürk, et al A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization by Sebastian Sanokowski et al