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Probabilistic Task-Adaptive Graph Rewiring

, , , , , , and . ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators, (2023)

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Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks., , , , , , and . AAAI, page 4602-4609. AAAI Press, (2019)Hierarchical Graph Representation Learning with Differentiable Pooling., , , , , and . CoRR, (2018)Global Weisfeiler-Lehman Graph Kernels., , and . CoRR, (2017)Position Paper: Ontology in the Rail Domain., , and . KEOD, page 285-290. SciTePress, (2015)Temporal Graph Kernels for Classifying Dissemination Processes., , , and . CoRR, (2019)Probabilistic Task-Adaptive Graph Rewiring, , , , , , and . ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators, (2023)Recent Advances in Kernel-Based Graph Classification., and . ECML/PKDD (3), volume 10536 of Lecture Notes in Computer Science, page 388-392. Springer, (2017)Output-sensitive Complexity of Multiobjective Combinatorial Optimization., , , and . CoRR, (2016)Towards a practical k-dimensional Weisfeiler-Leman algorithm., and . CoRR, (2019)A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels., , , , and . CoRR, (2017)