A survey on temporal knowledge graph completion: Taxonomy, progress, and prospects
Temporal characteristics are prominently evident in a substantial volume of knowledge,
which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia …
which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia …
An interdisciplinary survey on origin-destination flows modeling: Theory and techniques
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …
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
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 …
sustainable development by harnessing the power of cross-domain data fusion from diverse …
Building and exploiting spatial–temporal knowledge graph for next POI recommendation
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 …
and businesses in the field of location-based services. Many spatial–temporal inferring …
Urbankg: An urban knowledge graph system
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 …
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …
Spatio-temporal diffusion point processes
Spatio-temporal point process (STPP) is a stochastic collection of events accompanied with
time and space. Due to computational complexities, existing solutions for STPPs …
time and space. Due to computational complexities, existing solutions for STPPs …
UUKG: unified urban knowledge graph dataset for urban spatiotemporal prediction
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 …
development and operation of the smart city. As an emerging building block, multi-sourced …
Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction
Monitoring sustainable development goals requires accurate and timely socioeconomic
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
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
Understanding tourists' decision-making processes, in which many factors ranging from
functional attributes to geographical configurations are highly intertwined, has long been a …
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
Socioeconomic indicators reflect location status from various aspects such as
demographics, economy, crime and land usage, which play an important role in the …
demographics, economy, crime and land usage, which play an important role in the …