minjiyoon / CGTLinks
Scalable and privacy-enhanced graph generative models for benchmark graph neural networks
☆17Updated last year
Alternatives and similar repositories for CGT
Users that are interested in CGT are comparing it to the libraries listed below
Sorting:
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated last year
- ☆122Updated last year
- ☆176Updated last year
- "Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024☆24Updated 4 months ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Exphormer: Sparse Transformer for Graphs☆185Updated last year
- Official implementation of GOAT model (ICML2023)☆38Updated 2 years ago
- ☆38Updated last year
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆62Updated 3 months ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- List of papers on ICML2023.☆55Updated last year
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Graph Data Augmentation Library for PyTorch Geometric☆132Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆95Updated 3 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Official Repository of Adaptive Message Passing☆17Updated last month
- ☆29Updated last year
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 4 months ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆73Updated 2 months ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago