PKU-DAIR / SGL
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
☆137Updated 4 months ago
Related projects: ⓘ
- ☆136Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆60Updated 2 years ago
- A paper collection about automated graph learning☆93Updated 3 months ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆20Updated 2 years ago
- Datasets-for-Heterogeneous-Graph☆124Updated 5 years ago
- The dgl implementation of GraphSaint☆13Updated 3 years ago
- ☆187Updated 8 months ago
- ☆16Updated 4 years ago
- ☆128Updated last year
- A collection of graph data used for semi-supervised node classification.☆34Updated 2 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆299Updated last year
- ☆93Updated 11 months ago
- Bag of Tricks for Graph Neural Networks.☆276Updated 2 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆52Updated 10 months ago
- ☆11Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆123Updated 6 months ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆74Updated last week
- ☆56Updated last year
- an implementation of FastGCN with pytorch☆45Updated 4 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆113Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆106Updated 6 months ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆74Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆70Updated last year
- (WWW 2021) Source code of PC-GNN☆96Updated 2 years ago
- The source code of HeCo☆155Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆164Updated 11 months ago
- ☆51Updated 3 years ago
- Papers about out-of-distribution generalization on graphs.☆149Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆88Updated last year
- ☆37Updated this week