Results 21 to 30 of about 2,936,543 (297)
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation [PDF]
Computer Vision and Pattern Recognition, 2023 Automatic radiology reporting has great clinical potential to relieve radiologists from heavy workloads and improve diagnosis interpretation. Recently, researchers have enhanced data-driven neural networks with medical knowledge graphs to eliminate the ...
Mingjie Li +5 more
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Vulnerability Evaluation Algorithm Based on BNAG Model [PDF]
Jisuanji gongcheng, 2019 In order to accurately evaluate the vulnerability of computer network,a new evaluation algorithm is proposed by combining Bayesian network with attack graph.An attack graph model is constructed,which is named RSAG.On the basis of eliminating the loop in ...
WANG Hui, LOU Yalong, DAI Tianwang, RU Xinxin, LIU Kun
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AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Artefacts that differentiate spoofed from bona-fide utterances can reside in specific temporal or spectral intervals. Their reliable detection usually depends upon computationally demanding ensemble systems where each subsystem is tuned to some specific ...
Jee-weon Jung +7 more
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A Multi-Granular Aggregation-Enhanced Knowledge Graph Representation for Recommendation
Information, 2022 Knowledge graph (KG) helps to improve the accuracy, diversity, and interpretability of a recommender systems. KG has been applied in recommendation systems, exploiting graph neural networks (GNNs), but most existing recommendation models based on GNNs ...
Xi Liu, Rui Song, Yuhang Wang, Hao Xu
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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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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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Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution [PDF]
ACM Transactions on Knowledge Discovery from Data, 2021 Traffic prediction is the cornerstone of intelligent transportation system. Accurate traffic forecasting is essential for the applications of smart cities, i.e., intelligent traffic management and urban planning. Although various methods are proposed for
Fuxian Li +5 more
semanticscholar +1 more source
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 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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Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning [PDF]
Knowledge Discovery and Data Mining, 2021 Heterogeneous graph neural networks (HGNNs) as an emerging technique have shown superior capacity of dealing with heterogeneous information network (HIN).
Xiao Wang, Nian Liu, Hui-jun Han, C. Shi
semanticscholar +1 more source