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However, current methodologies predominantly rely on coarse-grained semantic analysis, failing to address the textual structural dependencies and noise inherent in resumes and job descriptions. To bridge this gap, the novel fine-grained semantics-enhanced graph neural network for person-job fit (FSEGNN-PJF) framework is proposed. First, graph topologies are constructed by modeling word co-occurrence relationships through pointwise mutual information and sliding windows, followed by graph attention networks to learn graph structural semantics. Second, to mitigate textual noise and focus on critical features, a differential transformer and self-attention mechanism are introduced to semantically encode resumes and job requirements. Then, a novel fine-grained semantic matching strategy is designed, using the enhanced feature fusion strategy to fuse the semantic features of resumes and job positions. Extensive experiments on real-world recruitment datasets demonstrate the effectiveness and robustness of FSEGNN-PJF.<\/jats:p>","DOI":"10.3390\/e27070703","type":"journal-article","created":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T07:42:06Z","timestamp":1751355726000},"page":"703","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Fine-Grained Semantics-Enhanced Graph Neural Network Model for Person-Job Fit"],"prefix":"10.3390","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4926-386X","authenticated-orcid":false,"given":"Xia","family":"Xue","sequence":"first","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingwen","family":"Wang","sequence":"additional","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Ma","sequence":"additional","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Ren","sequence":"additional","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wujie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuling","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Foreign Languages, Northwest University, Xi\u2019an 710127, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miao","family":"Tian","sequence":"additional","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Chang","sequence":"additional","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunhong","family":"Wang","sequence":"additional","affiliation":[{"name":"Maths and Information Technology School, Yuncheng University, Yuncheng 044000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4556-9546","authenticated-orcid":false,"given":"Hongyu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Qin, C., Zhu, H., Xu, T., Zhu, C., Jiang, L., Chen, E., and Xiong, H. (2018, January 8\u201312). Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA.","DOI":"10.1145\/3209978.3210025"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Malinowski, J., Keim, T., Wendt, O., and Weitzel, T. (2006, January 4\u20137). Matching people and jobs: A bilateral recommendation approach. Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS\u201906), Kauai, HI, USA.","DOI":"10.1109\/HICSS.2006.266"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhou, Y., Ma, Y., Chen, B., Zhang, L., and Agarwal, D. (2016, January 13\u201317). GLMix: Generalized Linear Mixed Models for Large-Scale Response Prediction. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA.","DOI":"10.1145\/2939672.2939684"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"12:1","DOI":"10.1145\/3234465","article-title":"Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning","volume":"9","author":"Zhu","year":"2018","journal-title":"ACM Trans. Manag. Inf. Syst."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2994779","DOI":"10.1155\/2023\/2994779","article-title":"Exploring Internal and External Interactions for Semi-Structured Multivariate Attributes in Job-Resume Matching","volume":"2023","author":"Shao","year":"2023","journal-title":"Int. J. Intell. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Zhao, C. (2024). Graph Adaptive Attention Network with Cross-Entropy. Entropy, 26.","DOI":"10.3390\/e26070576"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Li, Z., Lei, H., Ma, Z., and Zhang, F. (2024). Code Similarity Prediction Model for Industrial Management Features Based on Graph Neural Networks. Entropy, 26.","DOI":"10.3390\/e26060505"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3355","DOI":"10.1007\/s40747-022-00931-2","article-title":"Neural network fusion with fine-grained adaptation learning for turnover prediction","volume":"9","author":"Xue","year":"2023","journal-title":"Complex Intell. Syst."},{"key":"ref_9","unstructured":"Teng, M., Zhu, H., Liu, C., Zhu, C., and Xiong, H. (February, January 27). Exploiting the Contagious Effect for Employee Turnover Prediction. Proceedings of the The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, HI, USA."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Xue, X., Feng, J., Gao, Y., Liu, M., Zhang, W., Sun, X., Zhao, A., and Guo, S.X. (2019). Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction. Entropy, 21.","DOI":"10.3390\/e21121227"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4730","DOI":"10.1007\/s10489-020-02039-x","article-title":"GRU-based capsule network with an improved loss for personnel performance prediction","volume":"51","author":"Xue","year":"2021","journal-title":"Appl. Intell."},{"key":"ref_12","unstructured":"Rafter, R., Bradley, K., and Smyth, B. (2000, January 5\u20137). Personalised retrieval for online recruitment services. Proceedings of the 22nd Annual Colloquium on Information Retrieval, Cambridge, UK."},{"key":"ref_13","unstructured":"Wang, P., Dou, Y., and Xin, Y. (2016, January 28\u201330). The analysis and design of the job recommendation model based on GBRT and time factors. Proceedings of the 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA), Singapore."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Jiang, J., Ye, S., Wang, W., Xu, J., and Luo, X. (2020, January 19\u201323). Learning Effective Representations for Person-Job Fit by Feature Fusion. Proceedings of the CIKM \u201920: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland.","DOI":"10.1145\/3340531.3412717"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Yan, R., Le, R., Song, Y., Zhang, T., Zhang, X., and Zhao, D. (2019, January 4\u20138). Interview choice reveals your preference on the market: To improve job-resume matching through profiling memories. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, AK, USA.","DOI":"10.1145\/3292500.3330963"},{"key":"ref_16","first-page":"697","article-title":"Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning","volume":"Volume 13246","author":"Bhattacharya","year":"2022","journal-title":"Proceedings of the Database Systems for Advanced Applications\u201427th International Conference, DASFAA 2022"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"7705","DOI":"10.1007\/s10489-021-02277-7","article-title":"Semantic-enhanced sequential modeling for personality trait recognition from texts","volume":"51","author":"Xue","year":"2021","journal-title":"Appl. Intell."},{"key":"ref_18","unstructured":"Huang, P., He, X., Gao, J., Deng, L., Acero, A., and Heck, L.P. (November, January 27). Learning deep structured semantic models for web search using clickthrough data. Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, CIKM\u201913, San Francisco, CA, USA."},{"key":"ref_19","unstructured":"Hu, B., Lu, Z., Li, H., and Chen, Q. (2014, January 8\u201313). Convolutional Neural Network Architectures for Matching Natural Language Sentences. Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, Montreal, QC, Canada."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Chen, Q., Zhu, X., Ling, Z., Wei, S., Jiang, H., and Inkpen, D. (August, January 30). Enhanced LSTM for Natural Language Inference. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, BC, Canada.","DOI":"10.18653\/v1\/P17-1152"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"102738","DOI":"10.1016\/j.ipm.2021.102738","article-title":"A simple and efficient text matching model based on deep interaction","volume":"58","author":"Yu","year":"2021","journal-title":"Inf. Process. Manag."},{"key":"ref_22","unstructured":"Zhang, Y., Zhang, J., Cui, Z., Wu, S., and Wang, L. (2021, January 2\u20139). A Graph-based Relevance Matching Model for Ad-hoc Retrieval. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"107454","DOI":"10.1016\/j.knosys.2021.107454","article-title":"Frame-based Multi-level Semantics Representation for text matching","volume":"232","author":"Guo","year":"2021","journal-title":"Knowl. Based Syst."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1007\/s10489-021-02306-5","article-title":"MKPM: Multi keyword-pair matching for natural language sentences","volume":"52","author":"Lu","year":"2022","journal-title":"Appl. Intell."},{"key":"ref_25","unstructured":"Velickovic, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., and Bengio, Y. (May, January 30). Graph Attention Networks. Proceedings of the 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada."},{"key":"ref_26","unstructured":"Ye, T., Dong, L., Xia, Y., Sun, Y., Zhu, Y., Huang, G., and Wei, F. (2024). Differential transformer. arXiv."},{"key":"ref_27","unstructured":"Liu, Z., Wang, Y., Vaidya, S., Ruehle, F., Halverson, J., Solja\u010di\u0107, M., Hou, T.Y., and Tegmark, M. (2024). Kan: Kolmogorov-arnold networks. arXiv."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Mueller, J., and Thyagarajan, A. (2016, January 12\u201317). Siamese Recurrent Architectures for Learning Sentence Similarity. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, AZ, USA.","DOI":"10.1609\/aaai.v30i1.10350"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1162\/tacl_a_00097","article-title":"ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs","volume":"4","author":"Yin","year":"2016","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Pang, L., Lan, Y., Guo, J., Xu, J., Wan, S., and Cheng, X. (2016, January 12\u201317). Text Matching as Image Recognition. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, AZ, USA.","DOI":"10.1609\/aaai.v30i1.10341"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Le, R., Hu, W., Song, Y., Zhang, T., Zhao, D., and Yan, R. (2019, January 3\u20137). Towards Effective and Interpretable Person-Job Fitting. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China.","DOI":"10.1145\/3357384.3357949"},{"key":"ref_32","unstructured":"Lavi, D., Medentsiy, V., and Graus, D. (October, January 27). conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) Co-Located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands."}],"container-title":["Entropy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1099-4300\/27\/7\/703\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:01:41Z","timestamp":1760032901000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1099-4300\/27\/7\/703"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":32,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["e27070703"],"URL":"https:\/\/doi.org\/10.3390\/e27070703","relation":{},"ISSN":["1099-4300"],"issn-type":[{"value":"1099-4300","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,30]]}}}