minjiyoon / CGT
Scalable and privacy-enhanced graph generative models for benchmark graph neural networks
☆18Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CGT
- Implicit Graph Neural Networks☆60Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- ☆23Updated 11 months ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆93Updated 2 years ago
- Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.☆32Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆153Updated 11 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆70Updated 3 months ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆33Updated 3 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆76Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆61Updated 2 years ago
- Official implementation of GOAT model (ICML2023)☆34Updated last year
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 2 years ago
- [TMLR] "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"☆52Updated 2 months ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆40Updated 2 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆16Updated 11 months ago
- Dynamic Graph Benchmark☆68Updated last year
- ☆16Updated 2 years ago
- ☆111Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆85Updated last year
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Updated 3 years ago
- Code for "Random Features Strengthen Graph Neural Networks" (SDM 2021)☆20Updated 3 years ago
- (Personalized) Page-Rank computation using PyTorch☆87Updated last year
- ☆25Updated 4 months ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆54Updated 4 months ago
- Temporal Graph Benchmark project repo☆185Updated this week
- ☆45Updated 4 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆28Updated 2 years ago
- Official implementation of our FLAG paper (CVPR2022)☆141Updated 2 years ago