Web1 feb. 2024 · However, symbolic reasoning is too rigid for many applications, where predictions may need to be made about new situations that are not yet covered in a given knowledge base. On the other hand, ML systems often require little human input, ... Zha, H., Chen, Z., Yan, X.: Inductive relation prediction by BERT. CoRR abs/2103.07102 (2024) Web7 jul. 2024 · However, it is challenging to precisely conduct inductive relation prediction as there exists requirements of entity-independent relation modeling and discrete logical reasoning for interoperability. To this end, we propose a novel model ConGLR to incorporate context graph with logical reasoning.
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Web## Citation If you find this project useful, please cite it using the following format @article{zha2024inductive, title={Inductive Relation Prediction by BERT}, … WebInductive Relation Prediction by BERT Hanwen Zha, Zhiyu Chen, Xifeng Yan University of California, Santa Barbara {hwzha, zhiyuchen, xyan}@cs.ucsb.edu Abstract Relation … shelter made of snow crossword
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WebBERTRL: Inductive Relation Prediction by BERT Code and data for AAAI2024 paper Inductive Relation Prediction by BERT , which aims to study the problem of exploiting structural and textual information in knowledge graph completion leverging pre-trained … Web10 apr. 2024 · Temporal relation prediction in incomplete temporal knowledge graphs (TKGs) is a popular temporal knowledge graph completion (TKGC) problem in both … WebInductive Relation Prediction by BERT Hanwen Zha, Zhiyu Chen, Xifeng Yan Proceedings of AAAI 2024. [data and code] FinQA: A ... Global Textual Relation … sports in nashville this weekend