We consider the problem of representation learning for graph data. Given images are special cases of graphs with nodes lie on 2D lattices, graph embedding tasks have a natural correspondence with ...

Change point detection is crucial for identifying state transitions and anomalies in dynamic systems, with applications in network security, health care, and social network analysis. Dynamic systems ...

graph sports basketball pytorch vae gcn trajectory-prediction pedestrians graph-attention-networks graph-neural-networks gat gnn trajectory-forecasting human-trajectory vrnn dagnet Updated 3 weeks ago ...