tedzhouhk / GCNPLinks
☆16Updated 4 years ago
Alternatives and similar repositories for GCNP
Users that are interested in GCNP are comparing it to the libraries listed below
Sorting:
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆68Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 5 months ago
- ☆14Updated 4 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 5 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- ☆22Updated 3 years ago
- ☆10Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- ☆138Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Deeper insights into graph convolutional networks for semi-supervised learning☆19Updated 6 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 3 years ago
- ☆37Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆64Updated 2 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆97Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆27Updated 5 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- ☆139Updated 2 years ago
- ICLR 2021☆48Updated 4 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆22Updated 3 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆141Updated 2 months ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Updated 6 years ago