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
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 6 months ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- ☆14Updated 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
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 5 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- ☆37Updated 4 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆182Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago
- ☆22Updated 3 years ago
- MagNet graph convolutional network☆41Updated 2 years ago
- ☆138Updated 2 years ago
- ☆10Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- ☆139Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 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
- Official implementation of our FLAG paper (CVPR2022)☆144Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆74Updated 2 years ago
- A collection of graph data used for semi-supervised node classification.☆40Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆22Updated 3 years ago