Lu Bai

Learning Conjoint Attentions for Graph Neural Nets

2021 · arXiv (Cornell University)

In this paper, we present Conjoint Attentions (CAs), a class of novel learning-to-attend strategies for graph neural networks (GNNs). Besides considering the layer-wise node features propagated within the GNN, CAs can additionally incorporate various structural …

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification

2024

In this paper, we propose a Hierarchical Aligned Subtree Convolutional Network (HA-SCN) for graph classification. Our idea is to transform graphs of arbitrary sizes into fixed-sized aligned graphs and construct a normalized K-layer m-ary subtree …