A Unified Framework for Optimization-Based Graph Coarsening

A Unified Framework for Optimization-Based Graph Coarsening

Journal of machine learning research (JMLR), 2022

2 October 2022

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Papers citing "A Unified Framework for Optimization-Based Graph Coarsening"

7 / 7 papers shown

Title
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph CoarseningKnowledge Discovery and Data Mining (KDD), 2025 Guoming Li Jian Yang Yifan Chen 473 0 0 20 May 2025
GraphFLEx: Structure Learning Framework for Large Expanding Graphs Mohit Kataria Nikita Malik Sandeep Kumar Jayadeva GNN 153 0 0 18 May 2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening Mohit Kataria Shreyash Bhilwade Sandeep Kumar Jayadeva 160 0 0 18 May 2025
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service CapabilityIEEE Intelligent Transportation Systems Magazine (ITS), 2024 Yixuan Wang Zhenwu Chen Kangshuai Zhang Yunduan Cui Lei Peng Lei Peng GNN 148 2 0 05 Oct 2024
Modularity aided consistent attributed graph clustering via coarsening Samarth Bhatia Yukti Makhija Manoj Kumar Sandeep Kumar 274 0 0 09 Jul 2024
A Topology-aware Graph Coarsening Framework for Continual Graph Learning Xiaoxue Han Zhuo Feng Yue Ning CLL 236 9 0 05 Jan 2024
Efficient and Scalable Graph Generation through Iterative Local ExpansionInternational Conference on Learning Representations (ICLR), 2023 Kadek Hendrawan Palgunadi Karolis Martinkus Nathanael Perraudin Roger Wattenhofer 309 25 0 14 Dec 2023