ruizhang-ai / WGCN_Graph-Convolutional-Networks-with-Weighted-Structural-Features
WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021
☆22Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for WGCN_Graph-Convolutional-Networks-with-Weighted-Structural-Features
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆70Updated 2 months ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆39Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆60Updated 2 years ago
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆35Updated 5 years ago
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆41Updated 3 years ago
- ☆37Updated 2 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆38Updated 5 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆54Updated 3 years ago
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆19Updated 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
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆43Updated 3 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated 4 months ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆35Updated 6 months ago
- ☆38Updated last year
- ☆30Updated last year
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆37Updated 2 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆25Updated 2 years ago
- The pytorch implementation of ClusterSCL (WWW2022).☆15Updated last year
- ☆17Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆86Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆25Updated 2 years ago
- KDD'22☆57Updated 2 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆29Updated 2 years ago
- ☆31Updated 2 years ago
- ☆20Updated 3 years ago