shyam196 / egcLinks
"Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
☆33Updated 3 years ago
Alternatives and similar repositories for egc
Users that are interested in egc are comparing it to the libraries listed below
Sorting:
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆134Updated last year
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- MagNet graph convolutional network☆40Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆92Updated 10 months ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆95Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆75Updated 4 months ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Random Walk Graph Neural Networks☆54Updated 4 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated 2 years ago
- ☆96Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago