yueliu1999 / RGCLinks
[ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.
☆39Updated last year
Alternatives and similar repositories for RGC
Users that are interested in RGC are comparing it to the libraries listed below
Sorting:
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 8 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆64Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Updated 3 years ago
- ☆38Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆64Updated 2 years ago
- ☆61Updated 2 years ago
- ☆49Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆75Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- ☆18Updated 2 years ago
- Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)☆39Updated 5 months ago
- A Unified Library for Deep Graph Clustering☆117Updated 3 weeks ago
- ☆17Updated 3 months ago
- ☆18Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆46Updated last year
- Papers about hypergraph, their applications, and even similar ideas.☆19Updated 3 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 4 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆25Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆89Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆19Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Updated last year