Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...
IEEE

Deep Fusion of Heterogeneous Features and Semantic Mixer for Graph Neural Network Model

Abstract: With the wide application of graph neural networks in the field of graph-structured data learning, how to effectively handle the graph data that is ubiquitous in the real world and contains ...
IEEE

Knowledge Graph Enhanced Robust Cognitive Semantic Communication Against Semantic impairment

Abstract: Semantic communication has shown exceptional performance in various tasks, such as image classification, owing to the advancements in deep learning technologies. However, due to the openness ...
EurekAlert!

PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Frontiers

SSEL: spike-based structural entropic learning for spiking graph neural networks

Spiking Neural Networks (SNNs) offer transformative, event-driven neuromorphic computing with unparalleled energy efficiency, representing a third-generation AI paradigm. Extending this paradigm to ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
marktechpost

This AI Paper Introduces ReaGAN: A Graph Agentic Network That Empowers Nodes with Autonomous Planning and Global Semantic Retrieval

How can we make every node in a graph its own intelligent agent—capable of personalized reasoning, adaptive retrieval, and autonomous decision-making? This is the core question explored by a group ...