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Probabilistic graph model and neural network perspective of click models for web search
Click behavior is a typical user behavior in the web search. How to capture and model users’ click behavior has always been a common research topic....
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Web service recommendation for mashup creation based on graph network
In recent years, the world has witnessed the increased maturity of service-oriented computing. The mashup, as one of the typical service-based...
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Deep learning model for recommendation system using web of things based knowledge graph mining
Recent developments in research have shown that knowledge graphs (KG) are successful in supplying useful external knowledge to enhance recommendation...
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Web services recommendation based on Metapath-guided graph attention network
Existing Web services recommendation models suffer from matrix sparsity and cold-start problems due to the limited number of user-service...
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Algorithms and Models for the Web Graph 18th International Workshop, WAW 2023, Toronto, ON, Canada, May 23–26, 2023, Proceedings
This book constitutes the proceedings of the 18th International Workshop on Algorithms and Models for the Web Graph, WAW 2023, held in Toronto,...
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DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer
Web attribute extraction refers to extracting structured entities with specific attributes (e.g. title, director, genre and mpaa rating for a movie)...
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Web-Based Visualization and Analysis Framework for Graph Data
Graph theory has many applications in computer science. Graphs are involved in the mathematical modeling of problems belonging to very popular...
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Payload Level Graph Attention Network for Web Attack Traffic Detection
With the popularity of web applications, web attacks have become one of the major threats to cyberspace security. Many studies have focused on...
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An adaptive graph sampling framework for graph analytics
In large-scale data processing, graph analytics of complex interaction networks are indispensable. As the whole graph processing and analytics can be...
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Graph Contrastive Learning with Constrained Graph Data Augmentation
Studies on graph contrastive learning, which is an effective way of self-supervision, have achieved excellent experimental performance. Most existing...
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Local 2-connected bow-tie structure of the Web and of social networks
The explosive growth of the Web and of social networks motivates the need for analyzing the macroscopic structure of their underlying graphs....
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LDkit: Linked Data Object Graph Map** Toolkit for Web Applications
The adoption of Semantic Web and Linked Data technologies in web application development has been hindered by the complexity of numerous standards,...
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A graph-based QoS prediction approach for web service recommendation
With the development of the Internet, the recommendation based on Quality of Service(QoS) is proven to be an efficient way to deal with the...
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Investigation of graph-based clustering approaches along with graph neural networks for modeling armed conflict in Bangladesh
Determining fatality rates—a critical component of conflict analysis and comprehending the dynamics of armed conflict in Bangladesh are the main...
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A gated graph attention network based on dual graph convolution for node embedding
The research on node classification is based on node embeddings. Node classification accuracy can be improved if the embeddings of different nodes...
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DC-Graph: a chunk optimization model based on document classification and graph learning
Existing machine reading comprehension methods use a fixed stride to chunk long texts, which leads to missing contextual information at the...
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ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder
PurposeAttention Deficit Hyperactivity Disorder (ADHD) is a widespread condition that affects human behaviour and can interfere with daily activities...
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Web and Big Data 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023,...
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Web and Big Data 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part III
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023,...
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Web and Big Data 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part II
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023,...
