Haochen Chen

Graph neural networks: A review of methods and applications

Graph convolutional networks: a comprehensive review

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Learning Graph Embedding With Adversarial Training Methods

Graph embedding techniques, applications, and performance: A survey

Network Representation Learning: A Survey

A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods

Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance

Multilayer perceptron based deep neural network for early detection of coronary heart disease

Predicting movie Box-office revenues by exploiting large-scale social media content

HARP: Hierarchical Representation Learning for Networks