Pytorch implementation of differentiable group normalization (NeurIPS 2020)
☆38Oct 21, 2020Updated 5 years ago
Alternatives and similar repositories for DGN
Users that are interested in DGN are comparing it to the libraries listed below
Sorting:
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- We have created a new Github repository. Please visit https://github.com/ynchuang/DiscoverPath for the latest update.☆17Sep 3, 2023Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Jun 6, 2021Updated 4 years ago
- ☆29Jan 24, 2023Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- ☆11Jun 15, 2019Updated 6 years ago
- ☆10Aug 13, 2021Updated 4 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Feb 8, 2023Updated 3 years ago
- Efficient retrieval head analysis with triton flash attention that supports topK probability☆13Jun 15, 2024Updated last year
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Mar 20, 2023Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆109Jun 18, 2025Updated 8 months ago
- ☆13Nov 11, 2023Updated 2 years ago
- ☆14Aug 25, 2021Updated 4 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Oct 7, 2022Updated 3 years ago
- TAMU HELIOS Group PyTen Package☆14Nov 27, 2018Updated 7 years ago
- [AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs☆33Mar 24, 2022Updated 3 years ago
- virtual node analysis on ogb benchmark dataset☆14Mar 9, 2023Updated 3 years ago
- [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models☆16May 5, 2023Updated 2 years ago
- arxiv-daily☆13Jan 25, 2023Updated 3 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Dec 29, 2021Updated 4 years ago
- GraphCON (ICML 2022)☆60Sep 29, 2022Updated 3 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆58Mar 24, 2023Updated 2 years ago
- Submission Guide + Discussion Board for AI Singapore Online Safety Prize Challenge☆14Mar 20, 2024Updated last year
- ☆16Jun 14, 2023Updated 2 years ago
- ☆16Dec 8, 2021Updated 4 years ago
- ☆12Mar 30, 2021Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 5 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Aug 12, 2021Updated 4 years ago
- An implementation of GSKN-Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels☆15Apr 10, 2021Updated 4 years ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 5 years ago
- ☆12Jul 4, 2022Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Feb 27, 2021Updated 5 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- ☆38Sep 23, 2021Updated 4 years ago