Source code for PairNorm (ICLR 2020)
☆79Mar 26, 2020Updated 6 years ago
Alternatives and similar repositories for PairNorm
Users that are interested in PairNorm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Jul 25, 2024Updated last year
- ☆29Jan 24, 2023Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 5 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 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.
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆363Jul 9, 2020Updated 5 years ago
- GraphCON (ICML 2022)☆60Sep 29, 2022Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- ☆32Sep 22, 2021Updated 4 years ago
- Gradient gating (ICLR 2023)☆55May 11, 2023Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- ☆142Jul 9, 2023Updated 2 years ago
- ☆11Jun 4, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆54Sep 25, 2024Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Jul 6, 2023Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Apr 4, 2021Updated 5 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,188Jul 31, 2022Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆109Jun 18, 2025Updated last year
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆317Oct 18, 2019Updated 6 years ago
- ☆311Jul 17, 2022Updated 3 years ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Jun 10, 2024Updated 2 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Jul 25, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆43Mar 18, 2023Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆72Mar 27, 2024Updated 2 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Jun 16, 2020Updated 6 years ago
- Adaptive Propagation Graph Convolutional Network☆24Sep 28, 2020Updated 5 years ago
- Graph Filter Neural Network (ICPR'20)☆48Aug 6, 2020Updated 5 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆294Apr 21, 2021Updated 5 years ago
- ☆46Nov 17, 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.
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆100Apr 25, 2022Updated 4 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 6 years ago
- ☆10Dec 21, 2019Updated 6 years ago
- ☆10Aug 13, 2021Updated 4 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆200Mar 6, 2024Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆295Mar 29, 2023Updated 3 years ago
- Neural Graph Differential Equations (Neural GDEs)☆212Apr 15, 2021Updated 5 years ago