Graph neural networks (GNNs) have shown remarkable performance on homoph...
Treatment effect estimation, which refers to the estimation of causal ef...
A real-world graph has a complex topology structure, which is often form...
Human identification is an important topic in event detection, person
tr...
Graph representation learning aims to encode all nodes of a graph into
l...
Zero-shot learning (ZSL) has received increasing attention in recent yea...