Results 61 to 70 of about 3,672,970 (235)
Certain operations on interval-valued picture fuzzy graphs with application
International Journal of Mathematics for Industry, 2023 Graph theory has various applications in computer science, such as image segmentation, clustering, data mining, image capturing, and networking. Fuzzy graph (FG) theory has been widely adopted to handle uncertainty in graph-related problems.
Biswajit Das Adhikari +3 more
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New Journal of Physics, 2021 Non-Hermitian (NH) topological states, such as the doubly-degenerate nodes dubbed as exceptional points (EPs) in Bloch band structure of 2D lattices driven by gain and loss, have attracted much recent interest.
Hang Liu, Sheng Meng, Feng Liu
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A Hierarchical Parallel Graph Summarization Approach Based on Ranking Nodes
Applied Sciences, 2023 Graph summarization techniques are vital in simplifying and extracting enormous quantities of graph data. Traditional static graph structure-based summarization algorithms generally follow a minimum description length (MDL) style, and concentrate on ...
Qiang Liu, Jiaxing Wei, Hao Liu, Yimu Ji
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TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search [PDF]
The Web Conference, 2021 Text encoders based on C-DSSM or transformers have demonstrated strong performance in many Natural Language Processing (NLP) tasks. Low latency variants of these models have also been developed in recent years in order to apply them in the field of ...
Jason Zhu +9 more
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Applied Artificial Intelligence, 2023 Graph convolution neural networks have shown powerful ability in recommendation, thanks to extracting the user-item collaboration signal from users’ historical interaction information.
Yang Li +4 more
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Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer
Entropy, 2023 Graph-structured data, operating as an abstraction of data containing nodes and interactions between nodes, is pervasive in the real world. There are numerous ways dedicated to extract graph structure information explicitly or implicitly, but whether it ...
Xin Lai +4 more
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Learning to Generate Scene Graph from Natural Language Supervision [PDF]
IEEE International Conference on Computer Vision, 2021 Learning from image-text data has demonstrated recent success for many recognition tasks, yet is currently limited to visual features or individual visual concepts such as objects.
Yiwu Zhong +4 more
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Neural Motifs: Scene Graph Parsing with Global Context [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 We investigate the problem of producing structured graph representations of visual scenes. Our work analyzes the role of motifs: regularly appearing substructures in scene graphs.
Rowan Zellers +3 more
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Graph Theory and Additive Combinatorics
, 2023 Using the dichotomy of structure and pseudorandomness as a central theme, this accessible text provides a modern introduction to extremal graph theory and additive combinatorics.
Yufei Zhao
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Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 We consider the problem of recovering random, time-varying graph processes in a nonlinear dynamic system. The Extended Kalman filter (EKF) is a suitable estimator for such dynamics, but its implementation tends to be complex and possibly unstable when ...
G. Sagi, Nir Shlezinger, T. Routtenberg
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