[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
-
Updated
Mar 29, 2025
#
graph-coarsening
Here are 7 public repositories matching this topic...
Papers on Graph Analytics, Mining, and Learning
graph graph-algorithms parallel-computing graph-theory graph-databases graph-analytics graph-mining graph-partitioning graph-machine-learning random-walk graph-clustering graph-pattern-matching graph-sampling graph-neural-networks graph-coarsening graph-pattern-mining hardware-accelerators graph-querying
-
Updated
Aug 15, 2022
Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".
graph-clustering spectral-clustering graph-classification graph-neural-networks graph-coarsening graph-pooling node-clustering
-
Updated
Feb 11, 2025 - Python
A Python library for graph reduction including condensation, coarsening, and sparsification.
-
Updated
Mar 28, 2025 - Python
Open Source Graph Coarsening Library
-
Updated
Jun 24, 2020 - C++
Official repository of the paper "MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks" presented at ICLR 2025.
spectral-methods graph-classification maxcut node-classification graph-neural-networks graph-coarsening graph-pooling
-
Updated
Mar 8, 2025 - Python
NACFormer_MS model
-
Updated
Nov 19, 2023 - Python
Improve this page
Add a description, image, and links to the graph-coarsening topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the graph-coarsening topic, visit your repo's landing page and select "manage topics."