[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:
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆67Nov 5, 2023Updated 2 years ago
- ☆16Feb 7, 2023Updated 3 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
- BED: A Real-Time Object Detection System for Edge Devices☆60Nov 30, 2022Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆44May 17, 2020Updated 5 years ago
- Low Rank Global Attention for Graph Neural Networks☆12Aug 5, 2020Updated 5 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Nov 15, 2023Updated 2 years ago
- A library for graph deep learning research☆2,002Jul 15, 2024Updated last year
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆22Jun 20, 2023Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆296Mar 29, 2023Updated 3 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆126Jul 22, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- ☆21Dec 6, 2021Updated 4 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 5 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR'21)☆53May 4, 2022Updated 3 years ago
- ☆170Feb 28, 2022Updated 4 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 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
- ☆12May 31, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,190Jul 31, 2022Updated 3 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Jul 1, 2022Updated 3 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Nov 18, 2019Updated 6 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen☆26Feb 18, 2022Updated 4 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 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Jul 6, 2023Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,654Jun 22, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆506Aug 12, 2022Updated 3 years ago
- ☆32May 2, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,081May 6, 2025Updated 11 months ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆84Oct 7, 2022Updated 3 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Jan 31, 2026Updated 2 months ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 3 years ago
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR'22, Oral)☆26Apr 3, 2024Updated 2 years ago