yisiyu95 / R2FGCLinks
[Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering
☆12Updated 2 years ago
Alternatives and similar repositories for R2FGC
Users that are interested in R2FGC are comparing it to the libraries listed below
Sorting:
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 9 months ago
- [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering☆47Updated 2 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆17Updated 2 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Updated last year
- AAAI 2021-Deep Fusion Clustering Network☆83Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆64Updated last year
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆14Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- ☆16Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆29Updated last year
- ☆18Updated last year
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Updated 2 years ago
- ☆39Updated 4 years ago
- Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)☆39Updated 6 months ago
- [ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.☆41Updated last year
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 9 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- ☆15Updated last year
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated last year
- Source code for ICLR 2024 "LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference"☆36Updated last year
- A Survey of Learning from Graphs with Heterophily☆153Updated 9 months ago
- A collection of papers on Graph Structural Learning (GSL)☆57Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆87Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"☆12Updated last year
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆31Updated 9 months ago