[PDF][PDF] Architectures of topological deep learning: A survey on topological neural networks
The natural world is full of complex systems characterized by intricate relations between
their components: from social interactions between individuals in a social network to …
their components: from social interactions between individuals in a social network to …
Dual-view hypergraph attention network for news recommendation
News Recommendation (NR) helps users to quickly find their mostly interested information.
Recently, some NR systems based on graph neural networks has achieved significant …
Recently, some NR systems based on graph neural networks has achieved significant …
Meta-path aware dynamic graph learning for friend recommendation with user mobility
Recently, friend recommendation has gained widespread popularity in location-based social
networks (LBSNs), which provides more opportunities for users to forge new friendships …
networks (LBSNs), which provides more opportunities for users to forge new friendships …
Inferring Point-of-Interest Relationship for Strategic Group Discovery Guided by User Demands
Identifying strategic groups is crucial for businesses to understand the local competitive
landscape and develop successful strategies. With the advancements in location-based …
landscape and develop successful strategies. With the advancements in location-based …
Multi-Label Zero-Shot Product Attribute-Value Extraction
J Gong, H Eldardiry - arXiv preprint arXiv:2402.08802, 2024 - arxiv.org
E-commerce platforms should provide detailed product descriptions (attribute values) for
effective product search and recommendation. However, attribute value information is …
effective product search and recommendation. However, attribute value information is …
Hyper-Relational Knowledge Graph Neural Network for Next POI
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 …
Few-Shot and Zero-Shot Learning for Information Extraction
J Gong - 2024 - vtechworks.lib.vt.edu
Abstract Information extraction aims to automatically extract structured information from
unstructured texts. Supervised information extraction requires large quantities of labeled …
unstructured texts. Supervised information extraction requires large quantities of labeled …