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cs.LG2024
Commute Graph Neural Networks
Wei Zhuo, Han Yu, Guang Tan +1
Graph Neural Networks (GNNs) have shown remarkable success in learning from graph-structured data. However, their application to directed graphs (digraphs) presents unique challeng…
cs.LG2024★ 5 cited
Efficient Graph Similarity Computation with Alignment Regularization
Wei Zhuo, Guang Tan
We consider the graph similarity computation (GSC) task based on graph edit distance (GED) estimation. State-of-the-art methods treat GSC as a learning-based prediction task using…
cs.LG2021
Graph Neural Networks with Feature and Structure Aware Random Walk
Wei Zhuo, Guang Tan
Graph Neural Networks (GNNs) have received increasing attention for representation learning in various machine learning tasks. However, most existing GNNs applying neighborhood agg…