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gnns

15 papers

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message passing (3) expressiveness (2) over smoothing (2) graph neural network (2) knowledge graph (2) fragment-biases (1) fragment-wl test (1) aggregation buffer (1) dropedge (1) initial basis (1)

Papers

Aggregation Buffer: Revisiting DropEdge with a New Parameter Block ICML 2025 Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence ICML 2025 CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition ICML 2025 Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs ICML 2025 Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision ICML 2025 Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees ICML 2025 An Empirical Study of Realized GNN Expressiveness ICML 2024 Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation ICML 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs ICML 2024 Expressivity and Generalization: Fragment-Biases for Molecular GNNs ICML 2024 Generalizable Symbolic Optimizer Learning ECCV 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs ICML 2024 The Merit of River Network Topology for Neural Flood Forecasting ICML 2024 Weisfeiler Leman for Euclidean Equivariant Machine Learning ICML 2024