Results 31 to 40 of about 2,563,850 (352)
Uniform Single Valued Neutrosophic Graphs [PDF]
Neutrosophic Sets and Systems, 2017 In this paper, we propose a new concept named the uniform single valued neutrosophic graph. An illustrative example and some properties are examined. Next, we develop an algorithmic approach for computing the complement of the single valued neutrosophic ...
S. Broumi +6 more
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MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Large language models (LLMs) have achieved remarkable performance in natural language understanding and generation tasks. However, they often suffer from limitations such as difficulty in incorporating new knowledge, generating hallucinations, and ...
Yilin Wen, Zifeng Wang, Jimeng Sun
semanticscholar +1 more source
Introducing New Exponential Zagreb Indices for Graphs
Journal of Mathematics, 2021 New graph invariants, named exponential Zagreb indices, are introduced for more than one type of Zagreb index. After that, in terms of exponential Zagreb indices, lists on equality results over special graphs are presented as well as some new bounds on ...
Nihat Akgunes, Busra Aydin
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A knowledge graph based question answering method for medical domain [PDF]
PeerJ Computer Science, 2021 Question answering (QA) is a hot field of research in Natural Language Processing. A big challenge in this field is to answer questions from knowledge-dependable domain.
Xiaofeng Huang +4 more
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TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification [PDF]
The Web Conference, 2023 Encrypted traffic classification is receiving widespread attention from researchers and industrial companies. However, the existing methods only extract flow-level features, failing to handle short flows because of unreliable statistical properties, or ...
Haozhen Zhang +6 more
semanticscholar +1 more source
A Graph Attention Model for Dictionary-Guided Named Entity Recognition
IEEE Access, 2020 The lack of human annotations has been one of the main obstacles for neural named entity recognition in low-resource domains. To address this problem, there have been many efforts on automatically generating silver annotations according to domain ...
Yinxia Lou +3 more
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Computation of Resolvability Parameters for Benzenoid Hammer Graph
Journal of Mathematics, 2022 A representation of each vertex of a network into distance-based arbitrary tuple form, adding the condition of uniqueness of each vertex with reference to some settled vertices. Such settled vertices form a set known as resolving set.
Ali Ahmad, Al-Nashri Al-Hossain Ahmad
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A lattice-transformer-graph deep learning model for Chinese named entity recognition
Journal of Intelligent Systems, 2023 Named entity recognition (NER) is the localization and classification of entities with specific meanings in text data, usually used for applications such as relation extraction, question answering, etc.
Lin Min +4 more
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A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion
Information, 2022 Knowledge graph embedding can learn low-rank vector representations for knowledge graph entities and relations, and has been a main research topic for knowledge graph completion.
Haoliang Peng, Yue Wu
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Complete Multipartite Graphs of Non-QE Class [PDF]
Electronic Journal of Graph Theory and Applications (EJGTA) Vol.
11, No. 2 (2023), 511-527, 2022 We derive a formula for the QE constant of a complete multipartite graph and determine the complete multipartite graphs of non-QE class, namely, those which do not admit quadratic embeddings in a Euclidean space. Moreover, the primary non-QE graphs are specified among the complete multipartite graphs.
arxiv +1 more source