Kumo, a leader in predictive AI, today announced its launch of KumoRFM-2, the first foundation model to outperform fully supervised machine learning on enterprise relational data. Built by the team ...

Abstract: Deep learning has witnessed rapid progress through frameworks such as PyTorch, which has become the dominant choice for researchers and practitioners due to its dynamic computation, ...

PyTorch Geometric Knowledge Graph Builder is a serverless pipeline that transforms raw RDF data from multiple heterogeneous sources into enriched knowledge graphs and constructs PyTorch Geometric ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

This project demonstrates a graph-based analysis of transactions using Python. It uses the networkx library to create, visualize, and analyze graph structures from transaction data. The purpose of ...

Graph Neural Networks (GNNs) have achieved strong performance across a range of graph representation learning tasks, yet their adversarial robustness in graph classification remains underexplored ...

Abstract: Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph neural ...