Neighbor Contrastive Learning on Learnable Graph Augmentation
☆39Jun 25, 2024Updated last year
Alternatives and similar repositories for NCLA
Users that are interested in NCLA are comparing it to the libraries listed below
Sorting:
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Feb 27, 2024Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 2 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Feb 29, 2024Updated 2 years ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Mar 4, 2024Updated 2 years ago
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆12Dec 1, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 2 years ago
- ☆16May 5, 2023Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆20Jan 26, 2024Updated 2 years ago
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Jul 7, 2021Updated 4 years ago
- ☆11Feb 22, 2023Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆29Mar 11, 2024Updated last year
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆46Jun 13, 2022Updated 3 years ago
- ☆13Feb 26, 2024Updated 2 years ago
- The code of paper "High-order Correlation Preserved Incomplete Multi-view Subspace Clustering" accepted by IEEE TIP2022☆12Jan 19, 2022Updated 4 years ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆13Mar 10, 2023Updated 2 years ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆199Jun 13, 2023Updated 2 years ago
- AAAI 2024-Attribute-Missing Graph Clustering Network☆15Jul 2, 2025Updated 8 months ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- [TKDD 2024] An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification.☆14Mar 6, 2025Updated 11 months ago
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆16Jul 2, 2023Updated 2 years ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- code of Let the data choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-view Clustering☆15Feb 28, 2023Updated 3 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Oct 2, 2022Updated 3 years ago
- The pytorch implementation of ClusterSCL (WWW2022).☆15Apr 20, 2023Updated 2 years ago
- ☆14Nov 21, 2023Updated 2 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Oct 13, 2022Updated 3 years ago
- ☆17Mar 16, 2024Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43May 24, 2023Updated 2 years ago
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Jul 28, 2024Updated last year
- ☆16Dec 23, 2021Updated 4 years ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆19Apr 6, 2023Updated 2 years ago
- A collection of graph contrastive learning methods.☆18Apr 1, 2022Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Jul 25, 2022Updated 3 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- some methods about automated thermography defects detection☆21Nov 16, 2023Updated 2 years ago