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GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation
IEEE Transactions on Pattern Analysis and Machine IntelligenceSource-free domain adaptation is a crucial machine learning topic, as it contains numerous applications in the real world, particularly with respect to data privacy.
Junyu Luo +7 more
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Bibliographic Name Disambiguation with Graph Convolutional Network
2019Name disambiguation, which aims to distinguish real-life person from documents associated with a same reference by partition the documents, has received extensive concern in many intelligent tasks, e.g., information retrieval, bibliographic data analysis and mining system.
Hao Yan +4 more
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A graph-based approach for ontology population with named entities
Proceedings of the 21st ACM international conference on Information and knowledge management, 2012Automatically populating ontology with named entities extracted from the unstructured text has become a key issue for Semantic Web and knowledge management techniques. This issue naturally consists of two subtasks: (1) for the entity mention whose mapping entity does not exist in the ontology, attach it to the right category in the ontology (i.e., fine-
Wei Shen +3 more
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Towards Named Entity Disambiguation with Graph Embeddings
2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT)Extracting structured knowledge from scientific literature is crucial for helping professionals make well-informed decisions. This paper presents an approach to distilling knowledge from biomedical documents within the context of Named Entity Disambiguation (NED).
Colliani, Felice Paolo +4 more
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Hue cycle described by graphs and color names
Color Research & Application, 1991AbstractThe color appearance of the hue cycle in equal radiance is described in hue, saturation, and brightness/lightness. The latter does not resemble CIE luminance Y (peaking at 555 nm green), but peaks near 570 nm yellow with minor peaks near 490 nm cyan and 530 c magenta. Saturation per watt peaks near 450, 530, 610 nm (blue, green, red).
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NamE: Capturing Biological Context in KGEs via Contextual Named Graph Embeddings
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Large biological databases have become standard in many fields of biology, particularly biomedicine. Much of this data (such as that from DrugBank, PharmKG, PrimeKG, BIOSNAP, and others) is now expressed in a Knowledge Graph (KG) format in which concepts (such as drugs and diseases) are represented as nodes and the relationships between then (such as ...
Jeffrey, Sardina +3 more
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Author Name Disambiguation Based on Rule and Graph Model
2020Author name disambiguation has long been viewed as a challenging problem in scientific literature management, and with the substantial growth of the scientific literature, the solution to this problem has become increasingly difficult and urgency. In this paper, we conduct research on the author name disambiguation problem in large-scale academic ...
Lizhi Zhang, Zhijie Ban
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A Graph-based Approach to Person Name Disambiguation in Web
ACM Transactions on Management Information Systems, 2019This article presents a name disambiguation approach to resolve ambiguities between person names and group web pages according to the individuals they refer to. The proposed approach exploits two important sources of entity-centric semantic information extracted from web pages, including personal attributes and social relationships.
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