XuexiongLuoMQ / GLADCLinks
The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.
☆11Updated 2 years ago
Alternatives and similar repositories for GLADC
Users that are interested in GLADC are comparing it to the libraries listed below
Sorting:
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆21Updated 2 years ago
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆14Updated 9 months ago
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated last year
- ☆22Updated 4 years ago
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆11Updated last year
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆25Updated 2 years ago
- ☆15Updated 2 years ago
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Updated 4 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- A collection of graph contrastive learning methods.☆18Updated 3 years ago
- [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering☆45Updated 2 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆45Updated 3 years ago
- ☆53Updated 2 years ago
- AAAI 2024-Attribute-Missing Graph Clustering Network☆12Updated last month
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- Code for paper "One Pass Late Fusion Multi-view Clustering" (ICML 2021)☆15Updated 4 years ago
- code of Let the data choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-view Clustering☆13Updated 2 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- The code for "Multi-view Subspace Clustering on Topological Manifold", NeurIPS2022.☆9Updated 2 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- ☆18Updated 4 years ago
- This paper has been accepted by IEEE Transactions on Image Processing.☆9Updated 2 years ago
- ☆16Updated 3 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- AAAI 2022 (Oral): Stationary diffusion state neural estimation☆42Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 3 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆21Updated 3 years ago
- Introduction and related code for our NeurIPS22 paper ‘ Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matc…☆20Updated 2 years ago
- The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering☆36Updated 3 years ago