Structural Information Enhanced Graph Representation for Link Prediction
Lei Shi,
Bin Hu,
Deng Zhao
et al.
Abstract:Link prediction is a fundamental task of graph machine learning, and Graph Neural Network (GNN) based methods have become the mainstream approach due to their good performance. However, the typical practice learns node representations through neighborhood aggregation, lacking awareness of the structural relationships between target nodes. Recently, some methods have attempted to address this issue by node labeling tricks. However, they still rely on the node-centric neighborhood message passing of GNNs, which … Show more
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