safe-graph / RioGNN
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
☆75Updated 7 months ago
Alternatives and similar repositories for RioGNN:
Users that are interested in RioGNN are comparing it to the libraries listed below
- ☆95Updated 4 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆38Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 3 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 4 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated last year
- ☆76Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆61Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆137Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- (WWW 2021) Source code of PC-GNN☆104Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- ☆34Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆90Updated 3 years ago
- ☆60Updated 4 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆55Updated 11 months ago
- The source code of HeCo☆163Updated 3 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- ☆37Updated 3 years ago
- ☆111Updated last year
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆66Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆79Updated 4 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- ☆76Updated 3 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- KDD'22☆61Updated 2 years ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago