Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
Semantic layers break silos and establishes a single source of truth, while greatly simplifying interaction with complex data ...
Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns ...
Neurodegenerative disorders are defined by progressive neuronal dysfunction and death, in which oxidative stress is recognized as a central contributor to ...
Official implementation of 'Vision Graph Prompting via Semantic Low-Rank Decomposition'. The paper has been accepted by ICML 2025. Vision GNN (ViG) demonstrates superior performance by representing ...
Our work introduces the Flow-Modulated Scoring (FMS) framework, a novel paradigm for knowledge graph completion that unifies context-aware static representations with a dynamic evolutionary modeling ...
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