L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact either our society or the nature, such as earthquakes, civil unrest, system failures …
Knowledge Graph (KG) reasoning that predicts missing facts for incomplete KGs has been widely explored. However, reasoning over Temporal KG (TKG) that predicts facts in the …
W Jin, M Qu, X Jin, X Ren - arXiv preprint arXiv:1904.05530, 2019 - arxiv.org
Knowledge graph reasoning is a critical task in natural language processing. The task becomes more challenging on temporal knowledge graphs, where each fact is associated …
M Hu, H Li, H Song, X Li, R Law - Tourism management, 2022 - Elsevier
This study aims to forecast international tourist arrivals to Hong Kong from seven English- speaking countries. A new direction in tourism demand modeling and forecasting is …
H Li, M Hu, G Li - Annals of Tourism Research, 2020 - Elsevier
Based on internet big data from multiple sources (ie, the Baidu search engine and two online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …
Temporal Knowledge Graphs (TKGs) have been developed and used in many different areas. Reasoning on TKGs that predicts potential facts (events) in the future brings great …
Prior to the innovation of information communication technologies (ICT), social interactions evolved within small cultural boundaries such as geo spatial locations. The recent …
Abstract Social Media Prediction (SMP) is an emerging powerful tool attracting the attention of researchers and practitioners alike. Despite its many merits, SMP has also several …