37 Open source projects that are alternatives of or similar to DSTGCN

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

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

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

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StellarGraph - Machine Learning on Graphs

Graph Neural Network Library for PyTorch

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

links to conference publications in graph-based deep learning

PyTorch Implementation of GraphTSNE, ICLR’19

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Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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

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

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

The implement of GNN based on Pytorch

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

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A graph-based deep learning framework for life science

ACL 2018: Dating Documents using Graph Convolution Networks

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

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

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

Representation Learning on Graphs with Jumping Knowledge Networks

TypeDB-ML is the Machine Learning integrations library for TypeDB

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

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Tutorials for Machine Learning on Graphs

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

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

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

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

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

Code and resources on scalable and efficient Graph Neural Networks

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).