[NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures
☆135Mar 18, 2022Updated 4 years ago
Alternatives and similar repositories for shaDow_GNN
Users that are interested in shaDow_GNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆509Aug 12, 2022Updated 3 years ago
- ☆39Sep 23, 2021Updated 4 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- ☆16Dec 8, 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.
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Nov 10, 2021Updated 4 years ago
- ☆58Oct 29, 2021Updated 4 years ago
- Data-driven COVID-19 forecasts and detection of unreported cases☆22Jul 30, 2024Updated last year
- 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
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆20Apr 10, 2025Updated last year
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆145Oct 10, 2025Updated 9 months ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆25Feb 27, 2023Updated 3 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Nov 14, 2021Updated 4 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆266Feb 10, 2022Updated 4 years ago
- ☆22Mar 2, 2022Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆94Nov 3, 2020Updated 5 years ago
- Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)☆23Jul 20, 2023Updated 3 years ago
- ☆12Jan 29, 2022Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Jun 6, 2021Updated 5 years ago
- Implicit Graph Neural Networks☆63Nov 15, 2021Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆110Jun 18, 2025Updated last year
- Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)☆32Apr 26, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- Official Code for ICLR 2023 Paper: A Message Passing Perspective on Learning Dynamics of Contrastive Learning☆11Mar 9, 2023Updated 3 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆204Mar 5, 2021Updated 5 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆87Jun 16, 2025Updated last year
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Nov 19, 2018Updated 7 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- ☆10Aug 13, 2021Updated 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.
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,092May 6, 2025Updated last year
- ☆16May 27, 2021Updated 5 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Oct 22, 2024Updated last year
- an implementation of FastGCN with pytorch☆50Jul 18, 2020Updated 6 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆31Jul 25, 2023Updated 3 years ago
- ☆22Oct 14, 2022Updated 3 years ago