Knowledge graph completion aims to address knowledge gaps caused by difficulties in collecting real-world facts. This paper proposes a novel dual-view graph neural network model, DGE-ASR, which ...

We present a simple yet tough-to-beat method dubbed SGNNet, for correspondence learning. Instead of focusing on devising sophisticated geometric extractors to explore the global or local contextual ...