A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
☆157May 10, 2024Updated last year
Alternatives and similar repositories for SGL
Users that are interested in SGL are comparing it to the libraries listed below
Sorting:
- An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture sear…☆64Nov 11, 2025Updated 3 months ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Jun 25, 2022Updated 3 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆333Dec 13, 2025Updated 2 months ago
- ☆19Mar 21, 2022Updated 3 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Mar 7, 2023Updated 2 years ago
- ☆50Dec 12, 2024Updated last year
- GNN in Recommendation System (ACM Computing Surveys 2022)☆84Jun 25, 2022Updated 3 years ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆22May 7, 2024Updated last year
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Mar 21, 2022Updated 3 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆124Dec 18, 2023Updated 2 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Jun 28, 2023Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Jul 22, 2022Updated 3 years ago
- ☆28Aug 14, 2024Updated last year
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Oct 6, 2023Updated 2 years ago
- Generalized and Efficient Blackbox Optimization System.☆85Feb 21, 2023Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Mar 12, 2024Updated last year
- ☆17May 2, 2022Updated 3 years ago
- ☆137Aug 14, 2023Updated 2 years ago
- A customized and efficient database tuning system [VLDB'22]☆37Sep 21, 2023Updated 2 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Oct 6, 2023Updated 2 years ago
- code for progressive gsl☆12Jan 15, 2026Updated last month
- A reading list for deep graph learning acceleration.☆254Jul 26, 2025Updated 7 months ago
- Galvatron is an automatic distributed training system designed for Transformer models, including Large Language Models (LLMs). If you hav…☆23Oct 22, 2025Updated 4 months ago
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆147Sep 23, 2025Updated 5 months ago
- DemoKG is a knowledge graph tutorials for students and researchers. The tutorials include related topics suchas SPO triple preparation, G…☆12Dec 11, 2023Updated 2 years ago
- Code for nonconvex graph trend filtering☆10May 6, 2022Updated 3 years ago
- ☆10Aug 2, 2021Updated 4 years ago
- Efficient Hyper-parameter Tuning at Scale (VLDB'22)☆10Dec 1, 2021Updated 4 years ago
- 🕹 Implementation for the lesson Compiling Engineering(2020 Spring) in Peking University, adjusted from UCLA CS 132 Project.☆10Jun 21, 2020Updated 5 years ago
- Large scale graph learning on a single machine.☆167Feb 25, 2025Updated last year
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆28Jul 17, 2025Updated 7 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆22Jun 4, 2025Updated 9 months ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Jul 28, 2023Updated 2 years ago
- A Unified Python Library for Graph Prompting☆575May 15, 2025Updated 9 months ago
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- A Factored System for Sample-based GNN Training over GPUs☆46Jul 26, 2023Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆238Jul 23, 2023Updated 2 years ago
- including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware v…☆14Nov 19, 2023Updated 2 years ago
- ☆11Oct 31, 2021Updated 4 years ago