Zongyi Xiang

Graph Attention Networks with LSTM-based Path Reweighting.

2021 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have been extensively used for mining graph-structured data with impressive performance. However, traditional GNNs suffer from over-smoothing, non-robustness and over-fitting problems. To solve these weaknesses, we design a novel GNN solution, …