GAEseq: A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
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Updated
Jun 6, 2020 - C++
GAEseq: A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Code for "Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework" (ICDM 2020).
Implementation of Meta-GNN in TensorFlow
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
A reinforcement learning based solver for combinatorial problems
❤️ CUDA/C++ GPU graph analytics simplified.
Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.
High-performance CUDA C++ implementation of Graph Convolutional Networks
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
A distributed graph deep learning framework.
An Industrial Graph Neural Network Framework
Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
A benchmark suite for Graph Machine Learning
Programmable CUDA/C++ GPU Graph Analytics
Environment for coverage control and learning using GNN
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Low-Level Graph Neural Network Operators for PyG
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations - Source Code
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