A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.
☆147Sep 23, 2025Updated 5 months ago
Alternatives and similar repositories for graphlearn-for-pytorch
Users that are interested in graphlearn-for-pytorch are comparing it to the libraries listed below
Sorting:
- GART: Graph Analysis on Relational Transactional Datasets☆20Oct 30, 2024Updated last year
- 🍇 A C++ library for parallel graph processing (GRAPE) 🍇☆435Jul 22, 2025Updated 7 months ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆86Jun 16, 2025Updated 8 months ago
- Hiactor is a distributed C++ actor framework.☆119Jun 14, 2024Updated last year
- An Industrial Graph Neural Network Framework☆1,339Jul 4, 2025Updated 8 months ago
- ☆14Aug 3, 2024Updated last year
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆56Jul 3, 2022Updated 3 years ago
- ☆15Feb 20, 2024Updated 2 years ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆302Aug 17, 2023Updated 2 years ago
- Temporal Graph Benchmark project repo☆250Oct 6, 2025Updated 4 months ago
- A list of awesome GNN systems.☆336Updated this week
- The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes☆44Sep 15, 2021Updated 4 years ago
- Trillion-edge Scale Graph Edge Partitioning☆30Oct 23, 2019Updated 6 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Mar 15, 2023Updated 2 years ago
- Official Repo for "SplitQuant / LLM-PQ: Resource-Efficient LLM Offline Serving on Heterogeneous GPUs via Phase-Aware Model Partition and …☆36Aug 29, 2025Updated 6 months ago
- ☆216Dec 25, 2023Updated 2 years ago
- MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…☆11Sep 13, 2025Updated 5 months ago
- 🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统☆3,535Feb 20, 2026Updated last week
- GPU-initiated Large-scale GNN System [ATC 23]☆19Oct 30, 2024Updated last year
- NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)☆38Mar 14, 2024Updated last year
- ☆42Jun 13, 2025Updated 8 months ago
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆23Mar 27, 2025Updated 11 months ago
- Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"☆12Feb 8, 2023Updated 3 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆41Jul 10, 2024Updated last year
- ☆10Oct 16, 2020Updated 5 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Mar 17, 2024Updated last year
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆14Feb 11, 2025Updated last year
- RPCNIC: A High-Performance and Reconfigurable PCIe-attached RPC Accelerator [HPCA2025]☆13Dec 9, 2024Updated last year
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 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
- Ensemble learning with graph neural networks for disease module discovery and classification☆11Nov 5, 2023Updated 2 years ago
- ☆11Mar 9, 2022Updated 3 years ago
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆13Jan 3, 2025Updated last year
- A reading list for deep graph learning acceleration.☆254Jul 26, 2025Updated 7 months ago
- ☆49Apr 11, 2025Updated 10 months ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157May 10, 2024Updated last year
- ☆16Jun 25, 2024Updated last year
- ☆14Mar 29, 2020Updated 5 years ago
- ☆19Jun 1, 2025Updated 9 months ago