A survey on temporal knowledge graph completion: Taxonomy, progress, and prospects

J Wang, B Wang, M Qiu, S Pan, B Xiong, H Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Temporal characteristics are prominently evident in a substantial volume of knowledge,
which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia …

An interdisciplinary survey on origin-destination flows modeling: Theory and techniques

C Rong, J Ding, Y Li - ACM Computing Surveys, 2024 - dl.acm.org
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

X Zou, Y Yan, X Hao, Y Hu, H Wen, E Liu, J Zhang… - Information …, 2025 - Elsevier
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

Building and exploiting spatial–temporal knowledge graph for next POI recommendation

W Chen, H Wan, S Guo, H Huang, S Zheng, J Li… - Knowledge-Based …, 2022 - Elsevier
Abstract Next Point-of-Interest (POI) recommendation has shown great value for both users
and businesses in the field of location-based services. Many spatial–temporal inferring …

Urbankg: An urban knowledge graph system

Y Liu, J Ding, Y Fu, Y Li - ACM Transactions on Intelligent Systems and …, 2023 - dl.acm.org
Every day, our living city produces a tremendous amount of spatial-temporal data, involved
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …

Spatio-temporal diffusion point processes

Y Yuan, J Ding, C Shao, D Jin, Y Li - Proceedings of the 29th ACM …, 2023 - dl.acm.org
Spatio-temporal point process (STPP) is a stochastic collection of events accompanied with
time and space. Due to computational complexities, existing solutions for STPPs …

UUKG: unified urban knowledge graph dataset for urban spatiotemporal prediction

Y Ning, H Liu, H Wang, Z Zeng… - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract Accurate Urban SpatioTemporal Prediction (USTP) is of great importance to the
development and operation of the smart city. As an emerging building block, multi-sourced …

Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction

Y Liu, X Zhang, J Ding, Y Xi, Y Li - … of the ACM Web Conference 2023, 2023 - dl.acm.org
Monitoring sustainable development goals requires accurate and timely socioeconomic
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …

Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph

J Gao, P Peng, F Lu, C Claramunt, Y Xu - Information Processing & …, 2023 - Elsevier
Understanding tourists' decision-making processes, in which many factors ranging from
functional attributes to geographical configurations are highly intertwined, has long been a …

Hierarchical knowledge graph learning enabled socioeconomic indicator prediction in location-based social network

Z Zhou, Y Liu, J Ding, D Jin, Y Li - … of the ACM Web Conference 2023, 2023 - dl.acm.org
Socioeconomic indicators reflect location status from various aspects such as
demographics, economy, crime and land usage, which play an important role in the …