19 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
Lanning Wei, Jun Gao, Huan Zhao +1
Graph-structured data are the commonly used and have wide application scenarios in the real world. For these diverse applications, the vast variety of learning tasks, graph domains…
cs.LG2023★ 19 cited
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
Lanning Wei, Zhiqiang He, Huan Zhao +1
In recent years, Graph Neural Networks (GNNs) have been popular in the graph classification task. Currently, shallow GNNs are more common due to the well-known over-smoothing probl…