A Note On Over-Smoothing for Graph Neural Network
☆20Jun 29, 2020Updated 5 years ago
Alternatives and similar repositories for GNN-Over-Smoothing
Users that are interested in GNN-Over-Smoothing are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- ☆21Jun 13, 2023Updated 2 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …☆19Aug 8, 2023Updated 2 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Mar 3, 2022Updated 4 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.
- ☆31Oct 10, 2021Updated 4 years ago
- This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"☆14Aug 8, 2022Updated 3 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 5 years ago
- ☆18Sep 1, 2022Updated 3 years ago
- An attempt to apply reinforcement learning to graph signal recovery problem☆11Aug 25, 2021Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- ☆13Apr 2, 2025Updated last year
- ☆46Nov 17, 2021Updated 4 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated 2 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.
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 6 years ago
- ☆14Jun 14, 2021Updated 4 years ago
- ☆29Jan 24, 2023Updated 3 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 4 years ago
- ☆16May 20, 2020Updated 5 years ago
- Random walk unit with memory☆22Sep 26, 2024Updated last year
- ☆13Mar 8, 2024Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- ☆50Oct 28, 2023Updated 2 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.
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 4 years ago
- ☆13Aug 19, 2024Updated last year
- ☆26Mar 26, 2024Updated 2 years ago
- ☆15Jun 18, 2025Updated 10 months ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Jun 6, 2021Updated 4 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Dec 2, 2021Updated 4 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Sep 4, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆15Feb 23, 2023Updated 3 years ago
- GraphCON (ICML 2022)☆60Sep 29, 2022Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Oct 17, 2023Updated 2 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Aug 12, 2021Updated 4 years ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆34Jun 22, 2025Updated 9 months ago
- ☆32Dec 13, 2023Updated 2 years ago
- ☆42Jul 3, 2022Updated 3 years ago