FDUDSDE / KDD2022CLARELinks
Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"
☆37Updated 2 years ago
Alternatives and similar repositories for KDD2022CLARE
Users that are interested in KDD2022CLARE are comparing it to the libraries listed below
Sorting:
- ☆31Updated 3 years ago
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- ☆80Updated last year
- ☆123Updated 2 years ago
- ☆23Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- The source code of HeCo☆168Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆50Updated last year
- ☆47Updated 3 years ago
- Code listing for the paper 'Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers'. AAAI 2022.☆39Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- ☆37Updated 3 years ago
- ☆26Updated 5 years ago
- Benchmark☆107Updated last year
- ☆16Updated 2 years ago
- The source code of SpCo☆34Updated 2 years ago
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- ☆50Updated 2 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆75Updated 4 years ago
- The official implementation of the DGA-GNN algorithm.☆29Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆35Updated 10 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆135Updated last year
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆66Updated 2 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Updated 2 years ago
- Approximate Graph Propagation☆11Updated 4 years ago
- ☆11Updated 5 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 5 years ago