Results 31 to 40 of about 3,761,116 (301)
Double Graph Based Reasoning for Document-level Relation Extraction [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Document-level relation extraction aims to extract relations among entities within a document. Different from sentence-level relation extraction, it requires reasoning over multiple sentences across a document. In this paper, we propose Graph Aggregation-
Shuang Zeng +3 more
semanticscholar +1 more source
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
doaj +1 more source
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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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
semanticscholar +1 more source
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
semanticscholar +1 more source
Line and Subdivision Graphs Determined by
Mathematics, 2019 Let T 4 = { ± 1 , ± i } be the subgroup of fourth roots of unity inside T , the multiplicative group of complex units. For a T 4 -gain graph Φ = ( Γ , T 4 , φ ) , we introduce gain functions on ...
Abdullah Alazemi +4 more
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Jurnal Paedagogy, 2023 This study aims to analyze the effect of the 5E learning cycle model assisted by LKPD based on a three-dimensional thinking graph on scientific reasoning and the improvement of scientific reasoning.
Hamidita Putri Ristia +2 more
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Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020 The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain.
S. Gadgil +5 more
semanticscholar +1 more source
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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