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Interactive semantics neural networks for skeleton-based human interaction recognition
Skeleton-based human interaction recognition is a formidable challenge that demands the capability to discern spatial, temporal, and interactive...
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Encounter Count and Interaction Time-Based Routing Protocol for Opportunistic Networks
Opportunistic network is an extension of Mobile Ad-hoc network, and therefore, it shares most of the properties of the Mobile Ad-hoc network except...
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Duplicate question detection in community-based platforms via interaction networks
Community-based Question and Answering (CQA) platforms have a huge number of users, resulting in numerous duplicate questions with similar intent...
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FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks
To solve the information overload issue and enhance the user experience of various web applications, recommender systems aim to better model user...
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Interaction graph learning of line cascading failure in power networks and its statistical properties
We consider line failure cascading in power networks where an initial random failure of a few lines leads to consecutive other line overloads and...
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Microblog sentiment analysis via user representative relationship under multi-interaction hybrid neural networks
In microblog sentiment analysis, the similarity between microblogs and social attributes between users are often used, but previous work usually...
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Process Interaction Diagrams: More than Chains or Transport Networks
Process modeling is a broad field of research in different application areas, especially in informatics. Corresponding notations (transport networks,...
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CATS: Connection-Aware and Interaction-Based Text Steganalysis in Social Networks
The generative linguistic steganography in social networks have potential huge abuse and regulatory risks, with serious implications for information...
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Examining the impact of teacher scaffolding in the knowledge building environment: Insights from students’ interaction patterns, social epistemic networks, and academic performance
Promoting progressive discourse and sustained inquiry is a focus area of knowledge building research. Although different approaches for scaffolding...
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EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation
Monocular depth estimation (MDE) aims to predict pixel-level dense depth maps from a single RGB image. Some recent approaches mainly rely on...
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Proactive personality, interaction, and teaching strategy alignment: A conceptual-level analysis of interaction in distance learning
Based on the instructional interaction principles outlined by Chen and Wang (
2016 ) in third-generation distance learning, this study employs a...
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An interaction-based method for detecting overlap** community structure in real-world networks
A central theme of network analysis, these days, is the detection of community structure as it offers a coarse-grained view of the network at hand. A...
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The simpliciality of higher-order networks
Higher-order networks are widely used to describe complex systems in which interactions can involve more than two entities at once. In this paper, we...
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PIDE: Propagating Influence of Dynamic Evolution on Interaction Networks for Recommendation
Modelling dynamic interactions between users and items is very crucial for many recommendation systems. Although existing methods have achieved...
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Spatial-Angular Decoupling Interaction Networks for Light Field Angular Super-Resolution
The light field image simultaneously captures both the intensity and directional information of light rays, making it a valuable tool for acquiring...
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Degree assortativity in collaboration networks and breakthrough innovation: the moderating role of knowledge networks
Collaboration networks are widely recognized as essential channels for accessing innovation resources and facilitating creative activities by...
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Strategy evolution on higher-order networks
Cooperation is key to prosperity in human societies. Population structure is well understood as a catalyst for cooperation, where research has...
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Dense Temporal Subgraphs in Protein-Protein Interaction Networks
Temporal networks have been successfully applied to represent the dynamics of protein-protein interactions. In this paper we focus on the...
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Evaluation of AI tools for healthcare networks at the cloud-edge interaction to diagnose autism in educational environments
Physical, social, and routine environments can be challenging for learners with autism spectrum disorder (ASD). ASD is a developmental disorder...
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Downscaling spatial interaction with socioeconomic attributes
A variety of complex socioeconomic phenomena, for example, migration, commuting, and trade can be abstracted by spatial interaction networks, where...
