InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
IEEE

Distributed Graph-Based Learning for User Association and Beamforming Design in Multi-RIS Multi-Cell Networks

Abstract: We propose a novel graph neural network (GNN) architecture for jointly optimizing user association, base station (BS) beamforming, and reconfigurable intelligent surface (RIS) phase shift in ...
IEEE

Variational Graph Neural Network Based on Normalizing Flows

Abstract: Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets ...
IEEE

Continuous Graph Learning-Based Self-Adaptation for Multi-Stream Concept Drift

Abstract: Concept drift, characterized by changes in data distribution over time, has always been an inevitable problem in nonstationary data stream environments. Multistream scenarios are ...
Reuters

Exclusive: US peace plan for Ukraine drew from Russian document, sources say

Russian document was key input for 28-point US peace plan for Ukraine Many US officials believed Ukraine would reject plan Plan was revised after backlash; nine points cut after US-Ukraine talks Nov ...
IEEE

Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks

Abstract: The rapid expansion of Internet of Things (IoT) networks has significantly increased security vulnerabilities, exposing critical infrastructures to sophisticated cyberattacks. Traditional ...