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 …
Deep collaborative filtering with multi-aspect information in heterogeneous networks
Recently, recommender systems play a pivotal role in alleviating the problem of information
overload. Latent factor models have been widely used for recommendation. Most existing …
overload. Latent factor models have been widely used for recommendation. Most existing …
Neighbor enhanced graph convolutional networks for node classification and recommendation
Abstract The recently proposed Graph Convolutional Networks (GCNs) have achieved
significantly superior performance on various graph-related tasks, such as node …
significantly superior performance on various graph-related tasks, such as node …
Hawk: Rapid android malware detection through heterogeneous graph attention networks
Android is undergoing unprecedented malicious threats daily, but the existing methods for
malware detection often fail to cope with evolving camouflage in malware. To address this …
malware detection often fail to cope with evolving camouflage in malware. To address this …
Adaptive implicit friends identification over heterogeneous network for social recommendation
The explicitly observed social relations from online social platforms have been widely
incorporated into recommender systems to mitigate the data sparsity issue. However, the …
incorporated into recommender systems to mitigate the data sparsity issue. However, the …
Cash-out user detection based on attributed heterogeneous information network with a hierarchical attention mechanism
As one of the major frauds in financial services, cash-out fraud is that users pursue cash
gains with illegal or insincere means. Conventional solutions for the cash-out user detection …
gains with illegal or insincere means. Conventional solutions for the cash-out user detection …
Hincti: A cyber threat intelligence modeling and identification system based on heterogeneous information network
Y Gao, X Li, H Peng, B Fang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber attacks have become increasingly complicated, persistent, organized, and
weaponized. Faces with this situation, drives a rising number of organizations across the …
weaponized. Faces with this situation, drives a rising number of organizations across the …
Hierarchical attentive knowledge graph embedding for personalized recommendation
Abstract Knowledge graphs (KGs) have proven to be effective for high-quality
recommendation, where the connectivities between users and items provide rich and …
recommendation, where the connectivities between users and items provide rich and …
Attentive knowledge-aware graph convolutional networks with collaborative guidance for personalized recommendation
To alleviate data sparsity and cold-start problems of traditional recommender systems (RSs),
incorporating knowledge graphs (KGs) to supplement auxiliary information has attracted …
incorporating knowledge graphs (KGs) to supplement auxiliary information has attracted …
[HTML][HTML] A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
As an important way to alleviate information overload, a recommender system aims to filter
out irrelevant information for users and provides them items that they may be interested in. In …
out irrelevant information for users and provides them items that they may be interested in. In …