Zequn Sun

Multi-view Knowledge Graph Embedding for Entity Alignment

2019 · arXiv (Cornell University)

We study the problem of embedding-based entity alignment between knowledge graphs (KGs). Previous works mainly focus on the relational structure of entities. Some further incorporate another type of features, such as attributes, for refinement. However, …

$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications

2022 · arXiv (Cornell University)

This paper presents $μ\text{KG}$, an open-source Python library for representation learning over knowledge graphs. $μ\text{KG}$ supports joint representation learning over multi-source knowledge graphs (and also a single knowledge graph), multiple deep learning libraries (PyTorch and …

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

2022 · arXiv (Cornell University)

Existing knowledge graph (KG) embedding models have primarily focused on static KGs. However, real-world KGs do not remain static, but rather evolve and grow in tandem with the development of KG applications. Consequently, new facts …