Uncover the latest and most impactful research in Graph Theory in Probability. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field. Mounting ...

Hypergraph Neural Networks (HGNNs) have been significantly successful in higher-order tasks. However, recent study have shown that they are also vulnerable to adversarial attacks like Graph Neural ...

Graphs are everywhere. Whenever a delivery company models a road network, a power grid operator tracks the flow of ...

In the realm of machine learning (ML), a knowledge graph is a graphical representation that captures the connections between different entities. It consists of nodes, which represent entities or ...