Arman Gupta

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs

Forecasting relations between entities is paramount in the current era of data and AI. However, it is often overlooked that real-world relationships are inherently directional, involve more than two entities, and can change with time. In this paper, we provide a comprehensive solution to the problem…