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 …
Temporal knowledge graph completion: A survey
Knowledge graph completion (KGC) can predict missing links and is crucial for real-world
knowledge graphs, which widely suffer from incompleteness. KGC methods assume a …
knowledge graphs, which widely suffer from incompleteness. KGC methods assume a …
A survey on graph neural network-based next POI recommendation for smart cities
J Yu, L Guo, J Zhang, G Wang - Journal of Reliable Intelligent …, 2024 - Springer
Amid the rise of mobile technologies and Location-Based Social Networks (LBSNs), there's
an escalating demand for personalized Point-of-Interest (POI) recommendations. Especially …
an escalating demand for personalized Point-of-Interest (POI) recommendations. Especially …
POI recommendation for occasional groups Based on hybrid graph neural networks
Abstract Recently, POI (Point-of-interest) recommendation for groups has become a critical
challenge when helping groups to discover potentially interesting new places, and some …
challenge when helping groups to discover potentially interesting new places, and some …
Sampling-based epoch differentiation calibrated graph convolution network for point-of-interest recommendation
In location-based social networks, calibrating a point-of-interest (POI) recommendation
system is as important as its accuracy for improving user satisfaction. POI recommendation …
system is as important as its accuracy for improving user satisfaction. POI recommendation …
CDRGN-SDE: Cross-Dimensional Recurrent Graph Network with neural Stochastic Differential Equation for temporal knowledge graph embedding
D Zhang, W Feng, Z Wu, G Li, B Ning - Expert Systems with Applications, 2024 - Elsevier
The temporal knowledge graph builds upon the static knowledge graph by introducing the
time dimension and finds extensive applications in real artificial intelligence scenarios …
time dimension and finds extensive applications in real artificial intelligence scenarios …
Mobility prediction via rule-enhanced knowledge graph
With the rapid development of location acquisition technologies, massive mobile trajectories
have been collected and made available to us, which support a fantastic way of …
have been collected and made available to us, which support a fantastic way of …
Hyper-relational knowledge graph neural network for next POI recommendation
With the advancement of mobile technology, Point of Interest (POI) recommendation systems
in Location-based Social Networks (LBSN) have brought numerous benefits to both users …
in Location-based Social Networks (LBSN) have brought numerous benefits to both users …
[PDF][PDF] Bibliometric Analysis on the Research of Geoscience Knowledge Graph (GeoKG) from 2012 to 2023.
ZW Hou, X Liu, S Zhou, W Jing… - … International Journal of …, 2024 - researchgate.net
The geoscience knowledge graph (GeoKG) has gained worldwide attention due to its ability
in the formal representation of spatiotemporal features and relationships of geoscience …
in the formal representation of spatiotemporal features and relationships of geoscience …
A Comprehensive Overview of CFN From a Commonsense Perspective
Chinese FrameNet (CFN) is a scenario commonsense knowledge base (CKB) that plays an
important role in research on Chinese language understanding. It is based on the theory of …
important role in research on Chinese language understanding. It is based on the theory of …