tedzhouhk / GCNPLinks
☆16Updated 3 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…☆66Updated last year
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆134Updated 3 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- ☆13Updated 4 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆83Updated last month
- LazyGCN☆9Updated 4 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated 11 months ago
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆22Updated 2 years ago
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Updated last year
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆21Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆180Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆62Updated 3 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆25Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆91Updated 8 months ago
- ☆37Updated 3 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 3 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆136Updated 2 years ago
- MagNet graph convolutional network☆39Updated last year
- ☆138Updated last year
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆154Updated last year
- How Powerful are Spectral Graph Neural Networks☆73Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago