Zhen Yao

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

2022 · arXiv (Cornell University)

NeuralKG is an open-source Python-based library for diverse representation learning of knowledge graphs. It implements three different series of Knowledge Graph Embedding (KGE) methods, including conventional KGEs, GNN-based KGEs, and Rule-based KGEs. With a unified …

Tele-Knowledge Pre-training for Fault Analysis

2022 · arXiv (Cornell University)

In this work, we share our experience on tele-knowledge pre-training for fault analysis, a crucial task in telecommunication applications that requires a wide range of knowledge normally found in both machine log data and product …

Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting

2022 · arXiv (Cornell University)

We study the knowledge extrapolation problem to embed new components (i.e., entities and relations) that come with emerging knowledge graphs (KGs) in the federated setting. In this problem, a model trained on an existing KG …