Huiting Hong

GANE: A Generative Adversarial Network Embedding

2018 · arXiv (Cornell University)

Network embedding has become a hot research topic recently which can provide low-dimensional feature representations for many machine learning applications. Current work focuses on either (1) whether the embedding is designed as an unsupervised learning …

A Cross-Temporal Robotic Dance Performance: Dancing with a Humanoid Robot and Artificial Life

2024 · HAL (Le Centre pour la Communication Scientifique Directe)

International audience

An Attention-Based Graph Neural Network for Heterogeneous Structural Learning

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we focus on graph representation learning of heterogeneous information network (HIN), in which various types of vertices are connected by various types of relations. Most of the existing methods conducted on HIN …