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graph coarsening

22 papers

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Co-occurring keywords

graph neural network (3962) graph laplacian (109) graph classification (212) graph sparsification (18) spectral approximation (15) granular-ball computing (5) graph downsampling (3) graph spectrum (7) graph reduction (10) node classification (482)

Papers

Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction AAAI 2026
HC2-GNN: Hierarchical Graph Representation Learning for Efficient Text Classification AAAI 2026
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems AAAI 2025
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing IJCAI 2025
A Topology-aware Graph Coarsening Framework for Continual Graph Learning NIPS 2024
UGC: Universal Graph Coarsening NIPS 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation IJCAI 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening NIPS 2024
Graph Coarsening with Message-Passing Guarantees NIPS 2024
Featured Graph Coarsening with Similarity Guarantees ICML 2023
Generalizing Downsampling from Regular Data to Graphs AAAI 2023
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023
A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023
Hierarchical Graph Transformer with Adaptive Node Sampling NIPS 2022
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport AAAI 2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning NIPS 2021
Graph Coarsening with Preserved Spectral Properties AISTATS 2020
Faster Graph Embeddings via Coarsening ICML 2020
Graph Reduction with Spectral and Cut Guarantees JMLR 2019
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening NIPS 2019
Spectrally Approximating Large Graphs with Smaller Graphs ICML 2018