hhh920406

xuefu

my first test

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

graphvite

GraphVite: A General and High-performance Graph Embedding System

STAR-GCN

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

KDD2019-MEIRec

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

SEAL

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

bert

TensorFlow code and pre-trained models for BERT

GATNE

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

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

diffnet

Graph Neural Network based Social Recommendation Model. SIGIR2019.

GAT2VEC

embedding attributed graphs

pytorch_structure2vec

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

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

gc-mc

gcmc

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

GCMC

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

dgl

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

pytorch_geometric

Graph Neural Network Library for PyTorch

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dgi

TensorFlow implementation of Deep Graph Infomax