4 citations · 21 across the 14 of their papers we have counts for
7 papers · 1 filter
Fast Gradient Computation for Gromov-Wasserstein Distance
Wei Zhang, Zihao Wang, Jie Fan +2
The Gromov-Wasserstein distance is a notable extension of optimal transport. In contrast to the classic Wasserstein distance, it solves a quadratic assignment problem that minimize…
Meta Operator for Complex Query Answering on Knowledge Graphs
Hang Yin, Zihao Wang, Yangqiu Song
Knowledge graphs contain informative factual knowledge but are considered incomplete. To answer complex queries under incomplete knowledge, learning-based Complex Query Answering (…
Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
Qi Hu, Weifeng Jiang, Haoran Li +6
The increasing demand for deep learning-based foundation models has highlighted the importance of efficient data retrieval mechanisms. Neural graph databases (NGDBs) offer a compel…
Towards out-of-distribution generalizable predictions of chemical kinetics properties
Zihao Wang, Yongqiang Chen, Yang Duan +4
Machine Learning (ML) techniques have found applications in estimating chemical kinetic properties. With the accumulated drug molecules identified through "AI4drug discovery", the…
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhiquan Tan, Zihao Wang, Yifan Zhang
Label hierarchy is an important source of external knowledge that can enhance classification performance. However, most existing methods rely on predefined label hierarchies that m…
An Investigation of how Label Smoothing Affects Generalization
Blair Chen, Liu Ziyin, Zihao Wang +1
It has been hypothesized that label smoothing can reduce overfitting and improve generalization, and current empirical evidence seems to corroborate these effects. However, there i…