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Important Facts
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Recent Updates
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Chordal Decomposition for Spectral Coarsening (SIGGRAPH Asia 2020)
Lecture 7. Graph partitioning algorithms.
35. Finding Clusters in Graphs
[w06d0078] Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training
Anna Calissano: Topological Spatial Graph Coarsening
KDD 2025 - Partitionwise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening
Hierarchical Graph Representation Learning with Louka's Coarsening
AI Frontiers: Emotion Detection, Graph Coarsening & More | 2025-06-24
The Graph Partitioning Problem
[NeurIPS 2024] A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Graph State Tutorial (by Dr. Arshag Danageozian)
Deep Dive
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Last Updated: August 14, 2026
Future Outlook
For 2026, Graph Coarsening remains one of the most searched-for creator profiles. Check back for the latest updates.
Disclaimer: Disclaimer: All Verified Registry logs and creator system metrics are compiled from publicly accessible data, development records, and digital index testing.
![[w06d0078] Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training](https://i.ytimg.com/vi/NmTR3rI65fU/mqdefault.jpg)
![[NeurIPS 2024] A Topology-aware Graph Coarsening Framework for Continual Graph Learning](https://i.ytimg.com/vi/SqsztA3Fmfk/mqdefault.jpg)
