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Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks., , , , , , and . CoRR, (2018)From Similarity to Superiority: Channel Clustering for Time Series Forecasting., , , , , , , and . CoRR, (2024)Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks.. CoRR, (2019)Fast Graph Representation Learning with PyTorch Geometric, and . ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds, (2019)Deep Graph Representation Learning., and . Mach. Learn. under Resour. Constraints Vol. 1 (1), De Gruyter, (2022)On the power of message passing for learning on graph-structured data.. Technical University of Dortmund, Germany, (2022)PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning., , , , , , , and . CoRR, (2024)FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks., , , , , and . ICS, page 511-524. ACM, (2024)Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks., , , , , , and . AAAI, page 4602-4609. AAAI Press, (2019)GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3294-3304. PMLR, (2021)