{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T22:24:30Z","timestamp":1783117470185,"version":"3.54.6"},"reference-count":53,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["SWU-XDJH202303"],"award-info":[{"award-number":["SWU-XDJH202303"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["SWU-KR24025"],"award-info":[{"award-number":["SWU-KR24025"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72374173"],"award-info":[{"award-number":["72374173"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62402398"],"award-info":[{"award-number":["62402398"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019070","name":"Chongqing Research Program of Technological Innovation and Application Demonstration","doi-asserted-by":"publisher","award":["CSTB2025TIAD-KPX0027"],"award-info":[{"award-number":["CSTB2025TIAD-KPX0027"]}],"id":[{"id":"10.13039\/501100019070","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Processing &amp; Management"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.ipm.2026.104826","type":"journal-article","created":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T16:16:53Z","timestamp":1777047413000},"page":"104826","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["PAGSL: Path-Augmenting Graph Structure Learning for explainable scholar recommendation"],"prefix":"10.1016","volume":"63","author":[{"given":"Jiale","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1882-7316","authenticated-orcid":false,"given":"Mingshu","family":"Ai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junjie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2337-2857","authenticated-orcid":false,"given":"Tao","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ipm.2026.104826_b1","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1613\/jair.1.14318","article-title":"Reviewer assignment problem: A systematic review of the literature","volume":"76","author":"Aksoy","year":"2023","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"1","key":"10.1016\/j.ipm.2026.104826_b2","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1090\/S0002-9947-1984-0756039-5","article-title":"The evolution of random graphs","volume":"286","author":"B\u00e9la","year":"1984","journal-title":"\u201dTransactions of the American Mathematical Society\u201d"},{"key":"10.1016\/j.ipm.2026.104826_b3","series-title":"Explainable session-based recommendation via path reasoning","author":"Cao","year":"2024"},{"issue":"27","key":"10.1016\/j.ipm.2026.104826_b4","doi-asserted-by":"crossref","first-page":"11150","DOI":"10.1073\/pnas.0701175104","article-title":"A model of internet topology using k-shell decomposition","volume":"104","author":"Carmi","year":"2007","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"10.1016\/j.ipm.2026.104826_b5","series-title":"Proceedings of the sixteenth ACM international conference on web search and data mining","first-page":"544","article-title":"Heterogeneous graph contrastive learning for recommendation","author":"Chen","year":"2023"},{"key":"10.1016\/j.ipm.2026.104826_b6","series-title":"International conference on machine learning","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"},{"key":"10.1016\/j.ipm.2026.104826_b7","series-title":"Proceedings of the 14th ACM international conference on web search and data mining","first-page":"1056","article-title":"Temporal meta-path guided explainable recommendation","author":"Chen","year":"2021"},{"issue":"1","key":"10.1016\/j.ipm.2026.104826_b8","article-title":"Content-enhanced network embedding for academic collaborator recommendation","volume":"2021","author":"Chen","year":"2021","journal-title":"Complexity"},{"issue":"3","key":"10.1016\/j.ipm.2026.104826_b9","doi-asserted-by":"crossref","DOI":"10.1145\/3673243","article-title":"KPAR: Knowledge-aware path-based attentive recommender with interpretability","volume":"3","author":"Eytan","year":"2025","journal-title":"ACM Trans. Recomm. Syst."},{"key":"10.1016\/j.ipm.2026.104826_b10","series-title":"Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining","first-page":"2478","article-title":"Metapath-guided heterogeneous graph neural network for intent recommendation","author":"Fan","year":"2019"},{"key":"10.1016\/j.ipm.2026.104826_b11","series-title":"Proceedings of the ACM web conference 2022","first-page":"946","article-title":"Path language modeling over knowledge graphsfor explainable recommendation","author":"Geng","year":"2022"},{"key":"10.1016\/j.ipm.2026.104826_b12","doi-asserted-by":"crossref","unstructured":"Gou, L., Zhou, R., Wan, J., Zhang, J., Yao, Y., & Yang, C. (2023). Temporal Gate-Attention Network for Meta-path based Explainable Recommendation. In 2023 IEEE international conference on knowledge graph (pp. 219\u2013226).","DOI":"10.1109\/ICKG59574.2023.00032"},{"issue":"6","key":"10.1016\/j.ipm.2026.104826_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104283","article-title":"Tedrec: Transformer-based scientific collaborator recommendation via textual-edge dynamic network modeling","volume":"62","author":"Guan","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104826_b14","article-title":"Inductive representation learning on large graphs","volume":"vol. 30","author":"Hamilton","year":"2017"},{"key":"10.1016\/j.ipm.2026.104826_b15","series-title":"Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval","first-page":"639","article-title":"Lightgcn: Simplifying and powering graph convolution network for recommendation","author":"He","year":"2020"},{"key":"10.1016\/j.ipm.2026.104826_b16","series-title":"Proceedings of the 26th international conference on world wide web","first-page":"173","article-title":"Neural collaborative filtering","author":"He","year":"2017"},{"issue":"8","key":"10.1016\/j.ipm.2026.104826_b17","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Computation"},{"key":"10.1016\/j.ipm.2026.104826_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123520","article-title":"Self-restrained contrastive enhanced network for graph structure learning","volume":"249","author":"Jia","year":"2024","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104826_b19","series-title":"Proceedings of the 17th ACM international conference on web search and data mining","first-page":"313","article-title":"Diffkg: Knowledge graph diffusion model for recommendation","author":"Jiang","year":"2024"},{"issue":"3","key":"10.1016\/j.ipm.2026.104826_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104075","article-title":"Exploiting diffusion-based structured learning for item interactions representations in multimodal recommender systems","volume":"62","author":"Khan","year":"2025","journal-title":"Information Processing & Management"},{"issue":"11","key":"10.1016\/j.ipm.2026.104826_b21","doi-asserted-by":"crossref","first-page":"11801","DOI":"10.1109\/TKDE.2023.3237741","article-title":"Reinforcement learning based path exploration for sequential explainable recommendation","volume":"35","author":"Li","year":"2023","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.ipm.2026.104826_b22","first-page":"4206","article-title":"Graphmse: Efficient meta-path selection in semantically aligned feature space for graph neural networks","volume":"vol. 35","author":"Li","year":"2021"},{"issue":"9","key":"10.1016\/j.ipm.2026.104826_b23","doi-asserted-by":"crossref","first-page":"4458","DOI":"10.1109\/TKDE.2024.3373608","article-title":"Attention is not the only choice: Counterfactual reasoning for path-based explainable recommendation","volume":"36","author":"Li","year":"2024","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"9","key":"10.1016\/j.ipm.2026.104826_b24","doi-asserted-by":"crossref","first-page":"4458","DOI":"10.1109\/TKDE.2024.3373608","article-title":"Attention is not the only choice: Counterfactual reasoning for path-based explainable recommendation","volume":"36","author":"Li","year":"2024","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.ipm.2026.104826_b25","series-title":"2024 IEEE 40th international conference on data engineering","first-page":"544","article-title":"Structure- and logic-aware heterogeneous graph learning for recommendation","author":"Li","year":"2024"},{"key":"10.1016\/j.ipm.2026.104826_b26","series-title":"Proceedings of the 39th annual AAAI conference on artificial intelligence","first-page":"12264","article-title":"SIGMA: Selective gated mamba for sequential recommendation","author":"Liu","year":"2025"},{"issue":"2","key":"10.1016\/j.ipm.2026.104826_b27","doi-asserted-by":"crossref","DOI":"10.1145\/3711666","article-title":"Pone-GNN: Integrating positive and negative feedback in graph neural networks for recommender systems","volume":"3","author":"Liu","year":"2025","journal-title":"ACM Trans. Recomm. Syst."},{"issue":"2","key":"10.1016\/j.ipm.2026.104826_b28","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2022.103253","article-title":"Hnerec: Scientific collaborator recommendation model based on heterogeneous network embedding","volume":"60","author":"Liu","year":"2023","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104826_b29","first-page":"19620","article-title":"Parameterized explainer for graph neural network","volume":"vol. 33","author":"Luo","year":"2020"},{"key":"10.1016\/j.ipm.2026.104826_b30","series-title":"Proceedings of the 14th ACM international conference on web search and data mining","first-page":"779","article-title":"Learning to drop: Robust graph neural network via topological denoising","author":"Luo","year":"2021"},{"key":"10.1016\/j.ipm.2026.104826_b31","series-title":"Proceedings of the 40th international conference on machine learning","first-page":"24737","article-title":"Path neural networks: Expressive and accurate graph neural networks","volume":"vol. 202","author":"Michel","year":"2023"},{"issue":"1","key":"10.1016\/j.ipm.2026.104826_b32","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1006\/jctb.1996.0036","article-title":"Sudden emergence of a giantk-core in a random graph","volume":"67","author":"Pittel","year":"1996","journal-title":"Journal of Combinatorial Theory. Series B"},{"key":"10.1016\/j.ipm.2026.104826_b33","series-title":"The semantic web","first-page":"593","article-title":"Modeling relational data with graph convolutional networks","author":"Schlichtkrull","year":"2018"},{"key":"10.1016\/j.ipm.2026.104826_b34","series-title":"Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval","first-page":"1589","article-title":"Dynamic graph evolution learning for recommendation","author":"Tang","year":"2023"},{"key":"10.1016\/j.ipm.2026.104826_b35","series-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2018"},{"key":"10.1016\/j.ipm.2026.104826_b36","series-title":"Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval","first-page":"165","article-title":"Neural graph collaborative filtering","author":"Wang","year":"2019"},{"issue":"6","key":"10.1016\/j.ipm.2026.104826_b37","doi-asserted-by":"crossref","first-page":"3061","DOI":"10.1109\/TBDATA.2025.3570082","article-title":"Generative-contrastive heterogeneous graph neural network","volume":"11","author":"Wang","year":"2025","journal-title":"IEEE Transactions on Big Data"},{"issue":"5","key":"10.1016\/j.ipm.2026.104826_b38","doi-asserted-by":"crossref","DOI":"10.1145\/3757925","article-title":"LLM-enhanced user\u2013Item interactions: Leveraging edge information for optimized recommendations","volume":"16","author":"Wang","year":"2025","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"3","key":"10.1016\/j.ipm.2026.104826_b39","doi-asserted-by":"crossref","DOI":"10.1145\/3442199","article-title":"Scholar2vec: Vector representation of scholars for lifetime collaborator prediction","volume":"15","author":"Wang","year":"2021","journal-title":"ACM Trans. Knowl. Discov. Data"},{"issue":"4","key":"10.1016\/j.ipm.2026.104826_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104089","article-title":"DCCMA-net: Disentanglement-based cross-modal clues mining and aggregation network for explainable multimodal fake news detection","volume":"62","author":"Wei","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104826_b41","series-title":"Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval","first-page":"726","article-title":"Self-supervised graph learning for recommendation","author":"Wu","year":"2021"},{"key":"10.1016\/j.ipm.2026.104826_b42","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1007\/s40747-021-00315-y","article-title":"Explainable recommendation based on knowledge graph and multi-objective optimization","volume":"7","author":"Xie","year":"2021","journal-title":"Complex & Intelligent Systems"},{"key":"10.1016\/j.ipm.2026.104826_b43","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107839","article-title":"Heterogeneous dynamical academic network for learning scientific impact propagation","volume":"238","author":"Xu","year":"2022","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104826_b44","series-title":"2018 15th international conference on service systems and service management","first-page":"1","article-title":"A nearest neighbor based personal rank algorithm for collaborator recommendation","author":"Yang","year":"2018"},{"key":"10.1016\/j.ipm.2026.104826_b45","article-title":"Gnnexplainer: Generating explanations for graph neural networks","volume":"vol. 32","author":"Ying","year":"2019"},{"issue":"6","key":"10.1016\/j.ipm.2026.104826_b46","doi-asserted-by":"crossref","DOI":"10.1145\/3729224","article-title":"Cage: A causality-inspired graph neural network explainer for recommender systems","volume":"43","author":"Yu","year":"2025","journal-title":"ACM Transactions on Information Systems"},{"key":"10.1016\/j.ipm.2026.104826_b47","doi-asserted-by":"crossref","first-page":"659","DOI":"10.3389\/fphy.2021.768006","article-title":"Graph Embedding for Scholar Recommendation in Academic Social Networks","volume":"9","author":"Yuan","year":"2021","journal-title":"Frontiers in Physics"},{"key":"10.1016\/j.ipm.2026.104826_b48","series-title":"Proceedings of the 38th international conference on machine learning","first-page":"12241","article-title":"On explainability of graph neural networks via subgraph explorations","volume":"139","author":"Yuan","year":"2021"},{"issue":"507","key":"10.1016\/j.ipm.2026.104826_b49","article-title":"Heterogeneous information-based self-supervised graph learning for recommendation","volume":"81","author":"Zhang","year":"2025","journal-title":"Journal of Supercomputing"},{"key":"10.1016\/j.ipm.2026.104826_b50","series-title":"Proceedings of the ACM web conference 2023","first-page":"3784","article-title":"Page-link: Path-based graph neural network explanation for heterogeneous link prediction","author":"Zhang","year":"2023"},{"issue":"1","key":"10.1016\/j.ipm.2026.104826_b51","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1587\/transinf.2019EDP7108","article-title":"Heterorwr: A novel algorithm for top-k co-author recommendation with fusion of citation networks","volume":"103","author":"Zhao","year":"2020","journal-title":"IEICE TRANSACTIONS on Information and Systems"},{"key":"10.1016\/j.ipm.2026.104826_b52","series-title":"Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval","first-page":"2555","article-title":"Explainable session-based recommendation with meta-path guided instances and self-attention mechanism","author":"Zheng","year":"2022"},{"key":"10.1016\/j.ipm.2026.104826_b53","series-title":"The thirty-ninth annual conference on neural information processing systems","article-title":"Negative feedback really matters: Signed dual-channel graph contrastive learning framework for recommendation","author":"Zheng","year":"2025"}],"container-title":["Information Processing &amp; Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326002177?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326002177?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T21:59:44Z","timestamp":1783115984000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306457326002177"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":53,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,11]]}},"alternative-id":["S0306457326002177"],"URL":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104826","relation":{},"ISSN":["0306-4573"],"issn-type":[{"value":"0306-4573","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"PAGSL: Path-Augmenting Graph Structure Learning for explainable scholar recommendation","name":"articletitle","label":"Article Title"},{"value":"Information Processing & Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104826","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104826"}}