Enhancing Recommendation Accuracy and Explainability by Integrating Knowledge Graphs and Social Networks with Graph Attention

Enhancing Recommendation Accuracy and Explainability by Integrating Knowledge Graphs and Social Networks with Graph Attention | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 3 October 2025 V1 Latest version Share on Enhancing Recommendation Accuracy and Explainability by Integrating Knowledge Graphs and Social Networks with Graph Attention Authors : Xiantao Meng 0009-0009-8971-9970 , Yuping Yang , and Guifei Jiang [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175952223.35212771/v1 137 views 133 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This paper proposes a knowledge-aware influence propagation recommendation model based on graph attention, integrating user–item interactions with semantic information from knowledge graphs (KGs) and neighbor relations from social networks. In semantic propagation, user preferences are decomposed into deep interests captured via multi-step knowledge graph attention and shallow interests from historical interactions. Influence weights between items are derived from co-interaction frequency and semantic similarity, while user weights incorporate social ties. Final user and item embeddings are obtained through multi-layer propagation. Experiments on seven real-world datasets show that the proposed model outperforms strong baselines in recommendation accuracy. Moreover, we introduce a unified metric-based framework for explainability in multi-source recommendation, including three complementary metrics and a composite Total Score for balanced assessment. Results demonstrate that the proposed model achieves superior and consistent performance across all explainability metrics, attaining the best Total Score in all scenarios. To the best of our knowledge, this is the first work showing that jointly leveraging user-item interactions, KGs, and social relations improves both recommendation accuracy and explainability. Supplementary Material File (latex.pdf) Download 2.01 MB Information & Authors Information Version history V1 Version 1 03 October 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords explainability evaluation graph attention network knowledge graph recommendation algorithms social networks Authors Affiliations Xiantao Meng 0009-0009-8971-9970 Nankai University College of Software View all articles by this author Yuping Yang China Mobile Communications Group Shandong Co Ltd View all articles by this author Guifei Jiang [email protected] Nankai University College of Software View all articles by this author Metrics & Citations Metrics Article Usage 137 views 133 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Xiantao Meng, Yuping Yang, Guifei Jiang. Enhancing Recommendation Accuracy and Explainability by Integrating Knowledge Graphs and Social Networks with Graph Attention. Authorea . 03 October 2025. DOI: https://doi.org/10.22541/au.175952223.35212771/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.175952223.35212771/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ff185673f2f06f3',t:'MTc3OTM0NDkwNw=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();