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

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

resources for graph convolutional networks （图卷积神经网络相关资源）

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I'll add an inductive example (PPI) soon as well.

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

DeepInf: Social Influence Prediction with Deep Learning

ECML 2019: Graph Neural Networks for Multi-Label Classification

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

Fake news detector based on the content and users associated with it using BERT and Graph Attention Networks (GAT).

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop

PyTorch code for paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Graph attention network for stroke classification

JAX implementation of Graph Attention Networks

Text Classification using Graph Convolutional Neural Networks and Natural Language Processing Techniques

Graph Neural networks for NLP

A deep learning library for graph data structures

Collection of papers about graph

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks (NLPCC 2020)

Implementation of CoulGAT framework and screened Coulomb attention mechanism.

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)

Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network

Graph-neural-network

A convenient wrapper to develop graph neural networks with Keras. Currently under development with the objective of integrating Networkx, Owlready2 and oneM2M for cognitive IoT.

Code for the paper "NABU - Multilingual Graph-based Neural RDF Verbalizer"