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

Integrating Graph Neural Networks with Multi-Agent Deep Reinforcement Learning for Dynamic V2X Communication

Abstract: In the rapidly evolving field of Internet of Vehicles technology, Cellular Vehicle-to-Everything (C-V2X) communication has garnered considerable attention due to its superior performance in ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.
IEEE

Multi-modal Knowledge Graph Recommendation based on Self-Supervised Learning

Abstract: Incorporating multi-modal information into user-item interaction graphs has emerged as a promising strategy to improve recommendation quality by capturing richer semantic relationships. This ...
IEEE

Unifying Graph Contrastive Learning via Graph Message Augmentation

Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...
IEEE

LGNet: Linear Graph Representation for Efficient Cold-Start Recommendations

Abstract: Graph Convolutional Networks (GCNs) demonstrate significant potential in recommendation systems but face difficulties with the cold-start problem, especially in integrating new nodes during ...
GitHub

machine-learning-computer-vision-pytorch-cnn

Add a description, image, and links to the machine-learning-computer-vision-pytorch-cnn topic page so that developers can more easily learn about it.
Local News 8

Federal workers form line down the block for food pantry as shutdown hits third-week mark

(CNN) — Summer Kerksick waited in line for two hours Tuesday to receive a box of canned and dry goods at a food bank event for federal workers amid the ongoing government shutdown. “With my rent due ...
IEEE

Fault Analysis in Transmission Line Using Machine Learning

Abstract: A machine learning approach for fault analysis in transmission lines is presented based on Support Vector Machine (SVM), a supervised learning algorithm for classification and regression ...
AOL

How CNN tied multiple fraud reports to one single crypto ATM machine

A version of this story appeared in CNN’s What Matters newsletter. To get it in your inbox, sign up for free here. There’s a remarkable new report from the CNN Investigates team about crypto ATMs, ...
CNN

Smartmatic indicted in foreign bribery case, possibly endangering its lawsuits against Fox News and Giuliani

The Justice Department on Thursday filed foreign bribery charges against Smartmatic, the voting technology company that is suing Fox News and other prominent pro-Trump figures for defamation over ...