PKU-DAIR / SGLLinks
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
☆152Updated last year
Alternatives and similar repositories for SGL
Users that are interested in SGL are comparing it to the libraries listed below
Sorting:
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆62Updated 3 years ago
- ☆138Updated last year
- A paper collection about automated graph learning☆96Updated last year
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆21Updated 3 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year
- Bag of Tricks for Graph Neural Networks.☆295Updated 11 months ago
- an implementation of FastGCN with pytorch☆51Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆80Updated 4 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆325Updated last year
- ☆210Updated last year
- Datasets-for-Heterogeneous-Graph☆131Updated 5 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆82Updated last week
- ☆60Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 2 years ago
- ☆114Updated last year
- ☆135Updated last year
- ☆15Updated 5 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- Awesome literature on imbalanced learning on graphs☆76Updated 9 months ago
- (WWW 2021) Source code of PC-GNN☆104Updated 3 years ago
- Schedule for learning on graphs seminar☆109Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- How Powerful are Spectral Graph Neural Networks☆72Updated last year
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆25Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆309Updated last year
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆103Updated last week
- ☆33Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆251Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year