Results 211 to 220 of about 2,399,497 (230)
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Few-Shot Learning for Fault Diagnosis With a Dual Graph Neural Network
IEEE Transactions on Industrial Informatics, 2023Mechanical fault diagnosis is crucial to ensure the safe operations of equipment in intelligent manufacturing systems. Deep learning-based methods have been recently developed for fault diagnosis due to their advantages in feature representation. However,
Han Wang +5 more
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IEEE Internet of Things Journal, 2023
Social networks are an essential component of the Internet of People (IoP) and play an important role in stimulating interactive communication among people.
Kefan Wang +5 more
semanticscholar +1 more source
Social networks are an essential component of the Internet of People (IoP) and play an important role in stimulating interactive communication among people.
Kefan Wang +5 more
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2011
We address how the structure of a social communication system affects language coordination. The naming game is an abstraction of lexical acquisition dynamics, in which N agents try to find an agreement on the names to give to objects. Most results on naming games are specific to certain communication network topologies.
William H. Batchelder, Giorgio Gosti
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We address how the structure of a social communication system affects language coordination. The naming game is an abstraction of lexical acquisition dynamics, in which N agents try to find an agreement on the names to give to objects. Most results on naming games are specific to certain communication network topologies.
William H. Batchelder, Giorgio Gosti
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The Mathematics Teacher, 1995
If the reader recognizes immediately the function in figure 1, then what follows may be anticlimactic. But 1f anythmg seems peculiar, some interesting surprises may be in store. A check of a few textbooks reveals a neglect of function, whose lessons are overlooked.
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If the reader recognizes immediately the function in figure 1, then what follows may be anticlimactic. But 1f anythmg seems peculiar, some interesting surprises may be in store. A check of a few textbooks reveals a neglect of function, whose lessons are overlooked.
openaire +2 more sources
GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics
IEEE Symposium on Security and Privacy, 2023With the increasing popularity of open-source software, embedded vulnerabilities have been widely propagating to downstream software. Due to different maintenance policies, software vendors may silently release security patches without providing ...
Shu Wang +5 more
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Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering
Computer Vision and Pattern Recognition, 2023Recently, self-attention networks achieve impressive performance in point cloud segmentation due to their superiority in modeling long-range dependencies.
N. Zhang +4 more
semanticscholar +1 more source
An Approach for Named Entity Disambiguation with Knowledge Graph
2018 International Conference on Audio, Language and Image Processing (ICALIP), 2018Entity disambiguation has always been a key issue in the field of semantic analysis, question answering and recommendation system. The existing approaches for entity disambiguation are based on similarity calculation. The similarity is calculated by considering the similarity of entity context, or the correlation between entities.
Ke Zhang +4 more
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Graph-Based Named Entity Linking with Wikipedia [PDF]
, 2011 Named entity linking (NEL) grounds entity mentions to their corresponding Wikipedia article. State-of-the-art supervised NEL systems use features over the rich Wikipedia document and link-graph structure. Graph-based measures have been effective over WordNet for word sense disambiguation (WSD).
Will Radford, Ben Hachey, James Curran
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GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
arXiv.orgEvaluating and enhancing the general capabilities of large language models (LLMs) has been an important research topic. Graph is a common data structure in the real world, and understanding graph data is a crucial part for advancing general intelligence.
Zihan Luo +7 more
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Building a Graph of Names and Contextual Patterns for Named Entity Classification
2009An algorithm that bootstraps the acquisition of large dictionaries of entity types (names) and pattern types from a few seeds and a large unannotated corpora is presented. The algorithm iteratively builds a bigraph of entities and collocated patterns by querying the text. Several classes simultaneously compete to label the entity types.
Paloma Martínez +1 more
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