Dr. Gunjan Sharma’s Research Advances the Mathematics of Complex Networks

Dr. Gunjan Sharma develops DP-coloring frameworks to ensure seamless coordination and predictable complexity in large-scale ...
CoinTelegraph

An overview of graph neural networks (GNNs), types and applications

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
Nature

Complex Networks and Traffic Dynamics

Complex networks constitute the backbone of modern transportation, communication, and infrastructural systems, where nodes and links represent entities and their interactions. Traffic dynamics within ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...