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Titlebook: Advances on Graph-Based Approaches in Information Retrieval; First International Ludovico Boratto,Daniele Malitesta,Erasmo Purifica Confer

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發(fā)表于 2025-3-21 19:26:58 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances on Graph-Based Approaches in Information Retrieval
期刊簡稱First International
影響因子2023Ludovico Boratto,Daniele Malitesta,Erasmo Purifica
視頻videohttp://file.papertrans.cn/168/167329/167329.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Advances on Graph-Based Approaches in Information Retrieval; First International  Ludovico Boratto,Daniele Malitesta,Erasmo Purifica Confer
影響因子.This book constitutes the refereed proceedings of the First International Workshop on Graph-Based Approaches in Information Retrieval, IRonGraphs 2024, held in?Glasgow, UK, on March 24, 2024...The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. They focus on diverse novel contributions, with presentations on knowledge-aware graph-based recommender systems using user-based semantic features filtering, source-target node distance impacts on adversarial attacks in social network recommendations..
Pindex Conference proceedings 2025
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Guevara an International Model of Style,l aspect of Mathematical Information Retrieval (MIR). Our findings reveal that this simple approach consistently exceeds the performance of the current leading formula retrieval model, TangentCFT. To support ongoing research and development in this field, we have made our source code accessible to t
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/167329.jpg
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發(fā)表于 2025-3-23 01:01:24 | 只看該作者
,The Effectiveness of?Graph Contrastive Learning on?Mathematical Information Retrieval,l aspect of Mathematical Information Retrieval (MIR). Our findings reveal that this simple approach consistently exceeds the performance of the current leading formula retrieval model, TangentCFT. To support ongoing research and development in this field, we have made our source code accessible to the public at ..
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發(fā)表于 2025-3-23 02:40:04 | 只看該作者
Advances on Graph-Based Approaches in Information Retrieval978-3-031-71382-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
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發(fā)表于 2025-3-23 07:30:03 | 只看該作者
Guevara an International Model of Style,l aspect of Mathematical Information Retrieval (MIR). Our findings reveal that this simple approach consistently exceeds the performance of the current leading formula retrieval model, TangentCFT. To support ongoing research and development in this field, we have made our source code accessible to the public at ..
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