Boxin Du

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

2023 · arXiv (Cornell University)

Finding node correspondence across networks, namely multi-network alignment, is an essential prerequisite for joint learning on multiple networks. Despite great success in aligning networks in pairs, the literature on multi-network alignment is sparse due to …

Neural-Answering Logical Queries on Knowledge Graphs

2021

Logical queries constitute an important subset of questions posed in knowledge graph question answering systems. Yet, effectively answering logical queries on large knowledge graphs remains a highly challenging problem. Traditional subgraph matching based methods might …