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Sign and Basis Invariant Networks for Spectral Graph Representation Learning., , , , , , and . ICLR, OpenReview.net, (2023)New Benchmarks for Learning on Non-Homophilous Graphs., , , and . CoRR, (2021)Equivariant Subgraph Aggregation Networks., , , , , , , and . CoRR, (2021)Future Directions in Foundations of Graph Machine Learning., , , , , , , , , and . CoRR, (2024)The First Learning on Graphs Conference: Preface., , , , , , , , , and 6 other author(s). LoG, volume 198 of Proceedings of Machine Learning Research, page i-xxiii. PMLR, (2022)Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods., , , , , , and . NeurIPS, page 20887-20902. (2021)The Power of Recursion in Graph Neural Networks for Counting Substructures., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 11023-11042. PMLR, (2023)The Doubly Stochastic Single Eigenvalue Problem: A Computational Approach., , and . Exp. Math., 31 (3): 936-945 (2022)Sign and Basis Invariant Networks for Spectral Graph Representation Learning., , , , , , and . CoRR, (2022)Neural Manifold Ordinary Differential Equations., , , , , , and . NeurIPS, (2020)