no code implementations • 25 Oct 2024 • Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates
Graph Neural Networks (GNN) exhibit superior performance in graph representation learning, but their inference cost can be high, due to an aggregation operation that can require a memory fetch for a very large number of nodes.
1 code implementation • 26 Oct 2023 • Mai Zeng, Florence Regol, Mark Coates
Our model is composed of two diffusion processes, one for the time intervals and one for the event types.