Minnan Luo

Towards Entity Alignment in the Open World: An Unsupervised Approach

2021 · arXiv (Cornell University)

Entity alignment (EA) aims to discover the equivalent entities in different knowledge graphs (KGs). It is a pivotal step for integrating KGs to increase knowledge coverage and quality. Recent years have witnessed a rapid increase …

KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media

2021 · arXiv (Cornell University)

Identifying political perspectives in news media has become an important task due to the rapid growth of political commentary and the increasingly polarized political ideologies. Previous approaches focus on textual content and leave out the …

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks

2023 · arXiv (Cornell University)

Online movie review platforms are providing crowdsourced feedback for the film industry and the general public, while spoiler reviews greatly compromise user experience. Although preliminary research efforts were made to automatically identify spoilers, they merely …

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph

2025 · arXiv (Cornell University)

Dynamic node classification is critical for modeling evolving systems like financial transactions and academic collaborations. In such systems, dynamically capturing node information changes is critical for dynamic node classification, which usually requires all labels at …

Graph Representation Learning via Graphical Mutual Information Maximization

2020

The richness in the content of various information networks such as social networks and communication networks provides the unprecedented potential for learning high-quality expressive representations without external supervision. This paper investigates how to preserve and …