xihongyang1999 / MGCN
[TKDD 2024] An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification.
☆14Updated 3 weeks ago
Alternatives and similar repositories for MGCN:
Users that are interested in MGCN are comparing it to the libraries listed below
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆35Updated 9 months ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆32Updated 3 weeks ago
- AAAI 2024-Attribute-Missing Graph Clustering Network☆10Updated last year
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆13Updated 5 months 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☆24Updated last year
- ☆11Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 4 months ago
- Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.☆24Updated 2 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆24Updated last month
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆45Updated 2 years ago
- The source code for “Dual Label-Guided Graph Refinement for Multi-View Graph Clustering”☆22Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- ☆52Updated 2 years ago
- ☆48Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated last year
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated last week
- Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"☆11Updated last year
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆24Updated last year
- The source code of SpCo☆35Updated last year
- The Pytorch implementation demo for our TMM article: Self-consistent Contrastive Attributed Graph Clustering with Pseudo-label Prompt.☆14Updated 2 years ago
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated 7 months ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆30Updated last year
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 2 years ago
- AAAI 2021-Deep Fusion Clustering Network☆79Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆38Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆36Updated last year
- ☆16Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year