62 Open source projects that are alternatives of or similar to L2-GCN

A reading list for deep graph learning acceleration.

A distributed graph deep learning framework.

StellarGraph - Machine Learning on Graphs

A graph-based deep learning framework for life science

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

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

Representation Learning on Graphs with Jumping Knowledge Networks

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

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

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

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).

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

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

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

links to conference publications in graph-based deep learning

Multi-hop Question Generation with Graph Convolutional Network

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

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

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

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

PyTorch Implementation of GraphTSNE, ICLR’19

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

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

RandomX OpenCL implementation

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

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

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.

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

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

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

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

The implement of GNN based on Pytorch

Code and resources on scalable and efficient Graph Neural Networks

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

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

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

TypeDB-ML is the Machine Learning integrations library for TypeDB

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

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

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

ACL 2018: Dating Documents using Graph Convolution Networks

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

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

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

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

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

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

Personalizing Dialogue Agents via Meta-Learning

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

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

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

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

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

Tutorials for Machine Learning on Graphs

Official implementation of MSR-GCN (ICCV2021 paper)

Code for reproducing results in GraphMix paper

Graph Neural Network Library for PyTorch

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

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