65 Open source projects that are alternatives of or similar to mvGAE

Representation Learning on Graphs with Jumping Knowledge Networks

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

A distributed graph deep learning framework.

A reading list for deep graph learning acceleration.

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

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

A graph-based deep learning framework for life science

StellarGraph - Machine Learning on Graphs

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

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

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

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

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

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

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

Experiments on unsupervised point cloud reconstruction.

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

Code and resources on scalable and efficient Graph Neural Networks

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

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).

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

This repository contains the code of AirPose, our multi-view fusion network for Human Pose and Shape Estimation method

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

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020

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

The implement of GNN based on Pytorch

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

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

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

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)

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

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

ACL 2018: Dating Documents using Graph Convolution Networks

RandomX OpenCL implementation

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

TypeDB-ML is the Machine Learning integrations library for TypeDB

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

A collection of important graph embedding, classification and representation learning papers with implementations.

Official implementation of MSR-GCN (ICCV2021 paper)

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

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

Code for reproducing results in GraphMix paper

Tutorials for Machine Learning on Graphs

PyTorch Implementation of GraphTSNE, ICLR’19

Graph Neural Network Library for PyTorch

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

links to conference publications in graph-based deep learning

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

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

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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

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

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation