dglai / minigunLinks
Light-weight GPU kernel interface for graph operations
☆15Updated 5 years ago
Alternatives and similar repositories for minigun
Users that are interested in minigun are comparing it to the libraries listed below
Sorting:
- A general-purpose, distributed graph random walk engine.☆109Updated 2 years ago
- Large Scale Graphical Model☆24Updated 6 years ago
- ☆70Updated 4 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago
- ☆24Updated 3 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 9 years ago
- Graph Challenge☆32Updated 6 years ago
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆60Updated last year
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 7 years ago
- G3: A Programmable GNN Training System on GPU☆43Updated 5 years ago
- A library for syntactically rewriting Python programs, pronounced (sinner).☆68Updated 3 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Updated 7 years ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆302Updated 2 years ago
- Simple Distributed Deep Learning on TensorFlow☆134Updated 5 months ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 10 months ago
- Large scale graph learning on a single machine.☆166Updated 9 months ago
- Differentiated Computation and Partitioning on Skewed (Natural or Bipartite) Graphs☆67Updated 3 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated 2 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 3 years ago
- This repository contains the cuStinger data structure used for dynamic graph representation.☆20Updated 6 years ago
- Implementing Google's DistBelief paper☆116Updated 2 years ago
- Scaling Up Subgraph Query Processing with Efficient Subgraph Matching by Shixuan Sun and Dr. Qiong Luo☆18Updated 7 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 5 months ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- gBolt--very fast implementation for gSpan algorithm in data mining☆60Updated 4 years ago
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆73Updated 4 years ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Updated 7 years ago
- GPU-specialized parameter server for GPU machine learning.☆102Updated 7 years ago
- GraphMat graph analytics framework☆103Updated 2 years ago