hhh's repositories
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
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
gae_in_pytorch
Graph Auto-Encoder in PyTorch
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
stellargraph
StellarGraph - Machine Learning on Graphs