LARS-research / F2GNN
The released code for the paper: ''Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective" in WebConf 2022
☆22Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for F2GNN
- DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)☆18Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆29Updated 3 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆15Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆18Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 3 years ago
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆17Updated 7 months ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆54Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆25Updated 2 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆44Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆79Updated 3 weeks ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆70Updated 2 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- ☆37Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago
- Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)☆120Updated last year
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆22Updated 2 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
- ☆93Updated 3 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆39Updated 4 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆32Updated 2 years ago
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆41Updated 3 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated 4 months ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆74Updated 3 years ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago