5 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States
Shuhao Li, Weidong Yang, Changan Liu +4
Spatio-temporal forecasting is a cornerstone of logistics, urban planning, and intelligent transportation systems. However, constrained by deployment costs and maintenance resource…
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…
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…
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…