Stars
How Powerful are Graph Neural Networks?
A curated list of research papers related to learning disentangled representations
Advancing GraphSAGE with A Data-driven Node Sampling
Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
GraphVite: A General and High-performance Graph Embedding System
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
TensorFlow code and pre-trained models for BERT
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Representation learning for link prediction within social networks
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). Adve…
Neural Graph Collaborative Filtering, SIGIR2019
Graph Neural Network based Social Recommendation Model. SIGIR2019.
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
Paper Lists for Graph Neural Networks
Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Representation-Learning-on-Heterogeneous-Graph
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Graph Neural Network Library for PyTorch
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)