Turnitin
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Network alignment
Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …
When certain entities exist across multiple systems simultaneously, unveiling their …
Towards semantic consistency: Dirichlet energy driven robust multi-modal entity alignment
Multi-Modal Entity Alignment (MMEA) is a pivotal task in Multi-Modal Knowledge Graphs
(MMKGs), seeking to identify identical entities by leveraging associated modal attributes …
(MMKGs), seeking to identify identical entities by leveraging associated modal attributes …
Collaborative cross-network embedding framework for network alignment
Network alignment aims to identify the corresponding nodes belonging to the same entity
across different networks, which is a fundamental task in various applications. Existing …
across different networks, which is a fundamental task in various applications. Existing …
Multi-level social network alignment via adversarial learning and graphlet modeling
J Duan, Z Kang, L Tian, Y ** corresponding nodes across networks, is attracting
more attention for cross-network analysis in diverse domains, including social, biological …
more attention for cross-network analysis in diverse domains, including social, biological …
Leveraging Trustworthy Node Attributes for Effective Network Alignment
With the prevalence of social media platforms, accurately identifying the same users across
different networks through network alignment has become crucial. Existing methods often …
different networks through network alignment has become crucial. Existing methods often …
Multi-modal Entity Alignment via Position-enhanced Multi-label Propagation
Multi-modal Entity Alignment (MMEA) refers to utilizing multiple modalities such as text,
images, videos, etc., to match entities from multiple knowledge graphs. Compared to single …
images, videos, etc., to match entities from multiple knowledge graphs. Compared to single …