Xiaofei Han Publishes Groundbreaking Research on Multimodal Graph Neural Networks in Frontiers in Neuroscience

Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...

New enzyme network with competing peptides can make decisions based on external environment

The ability to respond to changing surroundings was once considered exclusive to complex living organisms. Then came ...
techUK

Simulation and photonics: How Dewret supports the next generation of engineering

Dewret was originally developed to support a real client open source need in photonics, and is spreading across our work in ...
TheServerSide

DP-900 Practice Tests on Azure Data Fundamentals Exam Topics

These are not DP-900 exam dumps or braindumps. They are carefully developed questions that resemble what you will experience on the real DP-900 certification exam. They will help you prepare honestly ...

A New Algorithm Beats Dijkstra's Time For The Shortest Path To Any Point In A Network

Researchers have combined the Dijkstra and Bellman-Ford algorithms to develop an even faster way to find the shortest paths ...
IEEE

Network Games Induced Prior for Graph Topology Learning

Abstract: Learning the graph topology of a complex network is challenging due to limited data availability and imprecise data models. A common remedy in existing works is to incorporate priors such as ...
IEEE

Finite-Size Convergence Bound of Graph Convolutional Networks by Graphon Analysis

Abstract: Graph Convolutional Networks (GCNs) prevail in the analysis of network-structured data, but how the graph size affects the performance is not fully understood. As the limit of graphs, the ...