Bao Tran Gia Ngo

GraphPulse: Topological representations for temporal graph property prediction

Many real-world networks evolve over time, and predicting the evolution of such networks remains a challenging task. Graph Neural Networks (GNNs) have shown empirical success for learning on static graphs, but they lack the ability to effectively learn from nodes and edges with different timestamps.…