🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
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Updated
Jul 17, 2024 - C++
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Programmable CUDA/C++ GPU Graph Analytics
Low-Level Graph Neural Network Operators for PyG
PyTorch Extension Library of Optimized Graph Cluster Algorithms
An Industrial Graph Neural Network Framework
Environment for coverage control and learning using GNN
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations - Source Code
A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
A benchmark suite for Graph Machine Learning
Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
A distributed graph deep learning framework.
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
High-performance CUDA C++ implementation of Graph Convolutional Networks
Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.
❤️ CUDA/C++ GPU graph analytics simplified.
A reinforcement learning based solver for combinatorial problems
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
Implementation of Meta-GNN in TensorFlow
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