[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
☆125Dec 29, 2021Updated 4 years ago
Alternatives and similar repositories for Deep_GCN_Benchmarking
Users that are interested in Deep_GCN_Benchmarking are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- We have created a new Github repository. Please visit https://github.com/ynchuang/DiscoverPath for the latest update.☆17Sep 3, 2023Updated 3 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆68Nov 5, 2023Updated 2 years ago
- ☆44May 17, 2020Updated 6 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 6 years ago
- ☆15Feb 7, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official Implementation of KDD 2023 paper: "Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disenta…☆11Aug 6, 2023Updated 3 years ago
- [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen☆27Feb 18, 2022Updated 4 years ago
- Low Rank Global Attention for Graph Neural Networks☆12Aug 5, 2020Updated 6 years ago
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆129Jul 22, 2022Updated 4 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆122Nov 15, 2023Updated 2 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Dec 30, 2021Updated 4 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆295Mar 29, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 4 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆23Jun 20, 2023Updated 3 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆167Aug 30, 2022Updated 4 years ago
- [ICLR 2023] "HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing" by Tianlong Chen*, Chengyue Gong*, Daniel …☆32Mar 19, 2023Updated 3 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Jul 6, 2023Updated 3 years ago
- ☆21Dec 6, 2021Updated 4 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR'21)☆54May 4, 2022Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Dec 30, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆63Mar 8, 2023Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆154Oct 11, 2022Updated 4 years ago
- LEAP is a novel tool for discovering latent temporal causal relations.☆17Oct 18, 2021Updated 5 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆211Oct 15, 2026Updated 2 weeks ago
- [TMLR] "Can You Win Everything with Lottery Ticket?" by Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangy…☆10Sep 8, 2022Updated 4 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 4 years ago
- ☆12May 31, 2021Updated 5 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Jul 1, 2022Updated 4 years ago
- The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.☆32Dec 18, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆58Mar 24, 2023Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 4 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,190Jul 31, 2022Updated 4 years ago
- Automated Machine Learning (AutoML) for Kaggle Competition☆32Jul 6, 2023Updated 3 years ago
- Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, w…☆14Jun 4, 2020Updated 6 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Nov 18, 2019Updated 6 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆367Jul 9, 2020Updated 6 years ago