yueliu1999 / Awesome-Deep-Graph-ClusteringLinks
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
☆939Updated 3 months ago
Alternatives and similar repositories for Awesome-Deep-Graph-Clustering
Users that are interested in Awesome-Deep-Graph-Clustering are comparing it to the libraries listed below
Sorting:
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆672Updated 2 months ago
- A Unified Library for Deep Graph Clustering☆114Updated 3 weeks ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆947Updated last year
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆540Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,683Updated last year
- [AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.☆199Updated 2 years ago
- A pytorch library for graph and hypergraph computation.☆765Updated last year
- Papers about explainability of GNNs☆749Updated 3 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆210Updated 2 months ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆284Updated 6 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆602Updated last year
- collections for advanced, novel multi-view clustering methods(papers , codes and datasets)☆596Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆256Updated last year
- Papers about graph transformers.☆905Updated 5 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 8 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆541Updated 2 years ago
- Hypergraph Neural Networks (AAAI 2019)☆776Updated 3 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆446Updated last year
- Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)☆36Updated 3 months ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- Awesome Papers About Performing Prompting On Graphs☆402Updated 3 months ago
- A Survey of Learning from Graphs with Heterophily☆147Updated 6 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆332Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆414Updated 3 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆61Updated 10 months ago
- ☆80Updated 9 months ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆426Updated 4 years ago