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{ "pk": 49554, "title": "A Similarity-Aware Graph Transformer-enhanced Probabilistic Case-based Reasoning Model for Knowledge Graph Reasoning", "subtitle": null, "abstract": "Knowledge Graph Reasoning (KGR) is an effective way to ameliorate sparsity and incompleteness problems by inferring new knowledge based on existing knowledge. The probabilistic case-based reasoning (CBR) model can gather reasoning paths from similar entities and relations in KG, thus outperforming rule-based and embedding-based KGR methods. However, it is still limited by some problems, such as insufficient learning of similarity features and sparse intermediate activations. This paper proposes a \\textbf{S}imilarity-\\textbf{A}ware graph transformer-enhanced probabilistic CBR model for \\textbf{KGR}, namely SA-KGR. The proposed model regards the reasoning task as the KG query answering and is composed of two phases. The first phase is similarity-aware graph transformer-based graph feature encoding, which equips the similarity matrix and Mixture-of-Expert network to obtain fine-grained similarity features that are more helpful for reasoning path generation. The second phase is similarity-enhanced probabilistic case-based reasoning, which can retrieve and infer query answers from the generated candidate paths to complete brain-like cognitive reasoning. Extensive experimental results on various benchmarks unambiguously demonstrate that the proposed SA-KGR model can obtain the state-of-the-art results of current CBR-based methods.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Artificial Intelligence; Case-based reasoning; Knowledge representation; Neural Networks" } ], "section": "Papers with Poster Presentation", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/1gz58677", "frozenauthors": [ { "first_name": "Yuejia", "middle_name": "", "last_name": "Wu", "name_suffix": "", "institution": "Inner Mongolia University", "department": "" }, { "first_name": "Jiantao", "middle_name": "", "last_name": "Zhou", "name_suffix": "", "institution": "Inner Mongolia University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2025-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49554/galley/37516/download/" } ] }