hhh920406

DSIN

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

gcmc-2

PyTorch and PyTorch geometric based implementation of Graph Convolutional Matrix Completion.

DeepGCN

ARGA

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

bert

TensorFlow code and pre-trained models for BERT

ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffnet

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

euler

A distributed graph deep learning framework.

gae_in_pytorch

Graph Auto-Encoder in PyTorch

GAT2VEC

representation learning on attributed graphs

GATNE

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

GraphSAGE_RL

Advancing GraphSAGE with A Data-driven Node Sampling

graphvite

A general and high-performance graph embedding system for various applications

intentgc-models

Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data

KDD2019-MEIRec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

NeuralNLP-NeuralClassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

powerful-gnns

How Powerful are Graph Neural Networks?

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_structure2vec

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

SEAL

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NIPS 2018 spotlight".

STAR-GCN

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

stellargraph

StellarGraph - Machine Learning on Graphs

TF-GNN

TensorFlow Implementation of Graph Attention Network and Graph Convolutional Network

transformer-xl