Xiaofei Han Publishes Groundbreaking Research on Multimodal Graph Neural Networks in ...

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 ...
Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
IEEE

Graph Contrastive Learning for Fusion of Graph Structure and Attribute Information

Abstract: Graph Contrastive Learning (GCL) plays a crucial role in multimedia applications due to its effectiveness in analyzing graph-structured data. Existing GCL methods focus on maximizing the ...
GitHub

Graph Exchange File Format

GEFF is a specification for a file format for exchanging spatial graph data. It is not intended to be mutable, editable, chunked, or optimized for use in an application setting.
Morningstar

Hyperscale Data Reduces Debt by $30 Million, Strengthening Capital Structure to Advance AI ...

LAS VEGAS, Oct. 9, 2025 /PRNewswire/ -- Hyperscale Data, Inc. (NYSE American: GPUS), a diversified holding company ("Hyperscale Data" or the "Company"), today announced that it has reduced its ...
GitHub

Multimodal Emotion Recognition in Conversations via Graph Structure Learning

Python 3.10.13 PyTorch 1.13.0 torch_geometric 2.5.2 torch-cluster 1.6.1 torch-scatter 2.1.1 torch-sparse 0.6.17 torch-spline-conv 1.2.2 sparsemax 0.1.9 CUDA 11.7 Train RIGSL using the MELD dataset.