hhh's starred repositories
powerful-gnns
How Powerful are Graph Neural Networks?
disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
GraphSAGE_RL
Advancing GraphSAGE with A Data-driven Node Sampling
intentgc-models
Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data
NeuralNLP-NeuralClassifier
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
KDD2019-MEIRec
KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
link-prediction
Representation learning for link prediction within social networks
gae_in_pytorch
Graph Auto-Encoder in PyTorch
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].
neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
pytorch_structure2vec
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
Representation-Learning-on-Heterogeneous-Graph
Representation-Learning-on-Heterogeneous-Graph
pytorch_geometric
Graph Neural Network Library for PyTorch