graph-clustering topic
chinese-whispers
An implementation of Chinese Whispers in Python.
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalabl...
Total-variation-graph-neural-networks
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
Optimisation-Python
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics...
Awesome-Graph-Level-Learning
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph repr...
Simplifying-Clustering-with-Graph-Neural-Networks
Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.
Spectral-Gromov-Wasserstein
Graph matching and clustering by comparing heat kernels via optimal transport.