Towards locality-aware meta-learning of tail node embeddings on networks

• Main Authors: LIU, Zemin, ZHANG, Wentao, FANG, Yuan, ZHANG, Xinming, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: meta-learning; network embedding; tail nodes; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/5296; https://ink.library.smu.edu.sg/context/sis_research/article/6299/viewcontent/CIKM20_meta_tail2vec.pdf
• Institution: Singapore Management University

Network embedding is an active research area due to the prevalence of network-structured data. While the state of the art often learns high-quality embedding vectors for high-degree nodes with abundant structural connectivity, the quality of the embedding vectors for low-degree or tail nodes is ofte...