Detecting communities from heterogeneous graphs: A context path-based graph neural network model
Community detection, aiming to group the graph nodes into clusters with dense inner-
connection, is a fundamental graph mining task. Recently, it has been studied on the …
connection, is a fundamental graph mining task. Recently, it has been studied on the …
User recommendation in social metaverse with VR
Social metaverse with VR has been viewed as a paradigm shift for social media. However,
most traditional VR social platforms ignore emerging characteristics in a metaverse, thereby …
most traditional VR social platforms ignore emerging characteristics in a metaverse, thereby …
Reciprocal Sequential Recommendation
Reciprocal recommender system (RRS), considering a two-way matching between two
parties, has been widely applied in online platforms like online dating and recruitment …
parties, has been widely applied in online platforms like online dating and recruitment …
[HTML][HTML] Motif-based graph attentional neural network for web service recommendation
Abstract Deep Neural Networks (DNN) based collaborative filtering has been successful in
recommending services by effectively generalizing graph-structured data. However, most …
recommending services by effectively generalizing graph-structured data. However, most …
MAMDR: A model agnostic learning framework for multi-domain recommendation
Large-scale e-commercial platforms in the real-world usually contain various
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning
Recommender systems are pivotal in enhancing user experiences across various web
applications by analyzing the complicated relationships between users and items …
applications by analyzing the complicated relationships between users and items …
MAMDR: a model agnostic learning method for multi-domain recommendation
Large-scale e-commercial platforms in the real-world usually contain various
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …
GSim: a graph neural network based relevance measure for heterogeneous graphs
Heterogeneous graphs, which contain nodes and edges of multiple types, are prevalent in
various domains, including bibliographic networks, social media, and knowledge graphs. As …
various domains, including bibliographic networks, social media, and knowledge graphs. As …
H-mgsr: a hierarchical motif-based graph attention neural network for service recommendation
X Zheng, G Wang, J Zhang, Y Zhang… - … conference on web …, 2023 - ieeexplore.ieee.org
The rapid development of web services has made it increasingly challenging for developers
to find desired web services. To address this issue, researchers have developed various …
to find desired web services. To address this issue, researchers have developed various …
DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating
Recently, the reciprocal recommendation, especially for online dating applications, has
attracted increasing research attention. Different from the conventional recommendation …
attracted increasing research attention. Different from the conventional recommendation …