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On the Scalability of GNNs for Molecular Graphs., , , , , , and . CoRR, (2024)Learnable Filters for Geometric Scattering Modules., , , , , , , and . CoRR, (2022)Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations., , , , , , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 22. PMLR, (2023)Geometric Scattering Attention Networks., , and . ICASSP, page 8518-8522. IEEE, (2021)Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks., , and . NeurIPS, (2020)Taxonomy of Benchmarks in Graph Representation Learning., , , , , , , , , and 2 other author(s). LoG, volume 198 of Proceedings of Machine Learning Research, page 6. PMLR, (2022)Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets., , , , , , , , , and 25 other author(s). CoRR, (2023)Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?, , , and . NeurIPS, (2022)Towards a General GNN Framework for Combinatorial Optimization., , , and . CoRR, (2024)