yichousun / Winter2021_CS249_GNN
☆54Updated 2 years ago
Alternatives and similar repositories for Winter2021_CS249_GNN
Users that are interested in Winter2021_CS249_GNN are comparing it to the libraries listed below
Sorting:
- ☆45Updated 4 years ago
- Neural Logic Inductive Learning☆42Updated 2 years ago
- ☆65Updated 9 months ago
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- ☆35Updated 5 years ago
- Memory-Based Graph Networks☆102Updated 2 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- ☆31Updated 6 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆55Updated last year
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆62Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 9 months ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- ☆44Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- ☆26Updated 6 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- Code for paper Fully Hyperbolic Neural Networks☆77Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago