49 Open source projects that are alternatives of or similar to Graph_Neural_Net

Smart contract vulnerability detection using graph neural network (DR-GCN).

A distributed graph deep learning framework.

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

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

Official implementation of MSR-GCN (ICCV2021 paper)

Code and dataset of ACL2019 Paper: Graph Neural Networks with Generated Parameters for Relation Extraction.

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Code for reproducing results in GraphMix paper

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

物联大师是开源免费的物联网智能网关系统，集成了标准Modbus和主流PLC等多种协议，支持数据采集、公式计算、定时控制、自动控制、异常报警、流量监控、Web组态、远程调试等功能，适用于大部分物联网和工业互联网应用场景。

StellarGraph - Machine Learning on Graphs

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Multi-hop Question Generation with Graph Convolutional Network

Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

Spatial Temporal Graph Convolutional Networks for Sign Language (ST-GCN-SL) Recognition

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

A reading list for deep graph learning acceleration.

A graph-based deep learning framework for life science

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

Representation Learning on Graphs with Jumping Knowledge Networks

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

RandomX OpenCL implementation

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

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

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

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)

Inductive relation prediction by subgraph reasoning, ICML'20

Paper Lists for Graph Neural Networks

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

Code for Knowledge-Embedded Routing Network for Scene Graph Generation (CVPR 2019)

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

A library for graph deep learning research

Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (2021 NeurIPS)

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

PyTorch code for Reasoning Visual Dialogs with Structural and Partial Observations

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

A paper list of research about social knowledge graph

hypergraph representation learning, graph neural network

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021