A new journal article by a researcher at the University of Manchester offers insight into how artificial intelligence (AI) is ...

Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

Signal processing is crucial for satisfying the high data rate requirements of future sixth-generation (6G) wireless networks. However, the rapid growth of wireless networks has brought about massive ...

We review fundamental concepts of DSPG, including graph signals and graph filters, graph Fourier transform, graph frequency, and spectrum ordering, and compare them with their counterparts from the ...

Atick, J.J. (1992) Could Information Theory Provide an Ecological Theory of Sensory Processing Network Computation in Neural Systems, 3, 4-44.

Natural language processing in at-risk mental states: enhancing the assessment of thought disorders and psychotic traits with semantic dynamics and graph theory ...

Applications of AI in Drug Discovery: In AI-driven drug discovery, chemical representations play a crucial role. Molecular graphs, the most common machine-readable representation, and various other ...

Explore the integration of Knowledge Graphs with Large Language Models through Graph RAG. Discover how this innovative approach enhances search capabilities, improves contextual understanding, and ...

This is the power of graph theory. However, graph theory doesn’t stop at social networks. It finds applications in everything from brain signal processing to solving Sudoku and airline scheduling.

This repository supports the following paper: M. Zhang, P. Li, Y. Xia, K. Wang, and L. Jin, Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. [PDF] SEAL ...