Suchergebnisse - Pattern Mining Language Models Knowledge Graphs

From language models to large-scale food and biomedical knowledge graphs von Cenikj, Gjorgjina, Strojnik, Lidija, Angelski, Risto, Ogrinc, Nives, Koroušić Seljak, Barbara, Eftimov, Tome

“… Various biomedical knowledge graphs exist, however, they require further extension with relations between food and biomedical entities …”
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Prediction of adverse drug reactions based on knowledge graph embedding von Zhang, Fei, Sun, Bo, Diao, Xiaolin, Zhao, Wei, Shu, Ting

“… Method Based on the Word2Vec model in Nature Language Processing, we propose a new knowledge graph embedding method that embeds drugs and ADRs into their respective vectors and builds a logistic …”
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Mining temporal attack patterns from cyberthreat intelligence reports von Rahman, Md Rayhanur, Wroblewski, Brandon, Matthews, Quinn, Morgan, Brantley, Menzies, Timothy, Williams, Laurie

“… Cyberthreat intelligence (CTI) reports on past cyberattacks describe the sequence of actions of attackers in terms of time. The sequence contains temporal …”
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Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study von Costello, Jeremy, Kaur, Manpreet, Reformat, Marek Z, Bolduc, Francois V

“… Patients and families need to be provided with trusted information more than ever with the abundance of online information. Several organizations aim to build …”
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Research on the construction and application of problem-method-oriented academic graph empowered by LLM von Qigang Liu, Yinfan Wang, Lifeng Mu, Jun Li

“… To address the issues of traditional literature management tools, a novel problem and method-oriented fine-grained academic graph is proposed to facilitate the exploration of research questions …”
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An Automated Approach for Domain-Specific Knowledge Graph Generation─Graph Measures and Characterization von O'Ryan, Connor, Hayes, Kevin D, VanGessel, Francis G, Doherty, Ruth M, Wilson, William, Fischer, John, Boukouvalas, Zois, Chung, Peter W

“… In this paper, we develop a natural language processing (NLP) approach to extract knowledge graphs resulting in a semantically structured network (SSN …”
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Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction von Gazzotti, Raphaël, Faron, Catherine, Gandon, Fabien, Lacroix-Hugues, Virginie, Darmon, David

“… On the other hand, knowledge graphs capture human knowledge by relying on conceptual schemas and formalization and supporting reasoning …”
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Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification von Cui, Hai, Peng, Tao, Feng, Lizhou, Bao, Tie, Liu, Lu

“… Question answering over knowledge graph (KGQA), which automatically answers natural language questions by querying the facts in knowledge graph (KG …”
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Meta concept recommendation based on knowledge graph

“… However, simply combining knowledge graphs with educational recommender systems cannot improve the performance of existing recommendation models, and may even weaken the performance …”
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Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications von Alshahrani, Mona, Almansour, Abdullah, Alkhaldi, Asma, Thafar, Maha A., Uludag, Mahmut, Essack, Magbubah, Hoehndorf, Robert

“… Biomedical knowledge is represented in structured databases and published in biomedical literature, and different computational approaches have been developed to exploit each type of information in predictive models …”
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A graph model with integrated pattern and query-based technique for extracting answer to questions in community question answering system von Ojokoh, Bolanle, Igbe, Tobore, Afolabi, Bamidele, Daramola, Oladunni

“… This graph-based system method that builds ranked answers for related questions using nKullback …”
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Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embedding von Salcedo, Mariah V., Gravel, Nathan, Keshavarzi, Abbas, Huang, Liang-Chin, Kochut, Krzysztof J., Kannan, Natarajan

“… Accurate prediction of dark kinase functions is a major bioinformatics challenge. Here, we employ a graph mining approach that uses the evolutionary and functional context encoded in knowledge graphs (KGs …”
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RECAP-KG: Mining Knowledge Graphs from Raw Primary Care Physician Notes for Remote COVID-19 Assessment in Primary Care von Mekhtieva, Rachel Lee, Forbes, Brandon, Alrajeh, Dalal, Delaney, Brendan, Russo, Alessandra

“… Building Clinical Decision Support Systems, whether from regression models or machine learning requires clinical data either in standard terminology or as text for Natural Language Processing (NLP …”
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Intent-Driven Semantic Query: An Effective Approach for Temporal Knowledge Graph Query von Bai, Luyi, Dong, Jixuan, Zhu, Lin

“… To overcome this problem, in this paper, we propose a semantic query model for temporal knowledge graphs, TKGSQ-PM …”
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Re-curation and rational enrichment of knowledge graphs in Biological Expression Language von Hoyt, Charles Tapley, Domingo-Fernández, Daniel, Aldisi, Rana, Xu, Lingling, Kolpeja, Kristian, Spalek, Sandra, Wollert, Esther, Bachman, John, Gyori, Benjamin M, Greene, Patrick, Hofmann-Apitius, Martin

“… The rapid accumulation of new biomedical literature not only causes curated knowledge graphs (KGs …”
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Graph-based hostile content detection in Hindi language von Angana Chakraborty, Subhankar Joardar, Dilip K. Prasad, Arif Ahmed Sekh

“… ). While extensive research exists for English-language content, regional languages like Hindi lack robust tools and datasets for effective moderation …”
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Sports behavior analysis technology based on GCN and domain knowledge graph von Jiaojiao Hu, Shengnan Ran

“…  million, demonstrating its advantages in real-time performance and model complexity. The results indicate that the framework combining the proposed graph convolutional …”
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Ensemble learning with RAG model to reduce redundant question topics in auto-generated exam questions von R. Tharaniya Sairaj, S. R. Balasundaram

“… The methodology is organised in three main phases: first, a fuzzy ontology mapping technique with ensemble learning is applied to generate expanded entity-relationship set generation from external Knowledge Graphs …”
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Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models von Zhou, Wentao, Huang, Meng, Liu, Shuai, You, Qiao, Meng, Fanxin

“… quake emergency management, this study proposes a domain knowledge extraction method for earthquakes based on a large language model combined with a three-level prompt engineering system (TPES-LLM …”
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Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph von Rabby, Gollam, D’Souza, Jennifer, Oelen, Allard, Dvorackova, Lucie, Svátek, Vojtěch, Auer, Sören

“… We also introduce a new approach to enhance the document representation method with a domain-independent knowledge graph to find the influential scholarly document using categorized scholarly content …”
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