410 Open source projects that are alternatives of or similar to Literatures-on-GNN-Acceleration

An index of recommendation algorithms that are based on Graph Neural Networks.

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A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

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Summary of open source code for deep learning models in the field of traffic prediction

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Must-read papers on graph neural networks (GNN)

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links to conference publications in graph-based deep learning

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Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Code for reproducing results in GraphMix paper

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

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Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Tutorials for Machine Learning on Graphs

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

A list of data mining and machine learning papers that I implemented in 2019.

This is a Pytorch implementation of GraphLIME

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

一个数字变化效果的计数器视图控件

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi

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Representing Long-Range Context for Graph Neural Networks with Global Attention

Everything you need to know about graph theory to ace a technical interview 🔥

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This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

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[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

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Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

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modern mathematical graph/network library written in PHP