Employing an adversarial training framework, the edge predictor utilizes the line graph transformed from the original graph to estimate the edges to be dropped, which improves the interpretability of ...

Detecting fraud in multi-relational graphs is a significant difficulty due to the complex nature of fraudulent activities and the inadequacies of conventional Graph Neural Networks (GNNs) in managing ...

Multimodal Knowledge Graph (MMKG) is a knowledge graph that represents relationships between entities using multiple modalities, such as images, textual descriptions, and other forms of data.

This repository contains the code and resources for the paper CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era by Yanlin Feng, Simone Papicchio, and ...

As global demand for reliable remote connectivity continues to surge, NEXCOM, a leading supplier of network appliances, is empowering off-grid operations with resilient, high-performance network ...

By combining Multi-WAN failover, edge computing performance, and Non-Terrestrial Network (NTN) readiness, ISV and solution providers are able to transform RV stations and other remote locations ...