160 citations · 175 across the 17 of their papers we have counts for
Showing 2024 · cs.LGShow all
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cs.LG2024★ 1 cited
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
Guangxin Su, Yifan Zhu, Wenjie Zhang +2
Graph representation learning, involving both node features and graph structures, is crucial for real-world applications but often encounters pervasive noise. State-of-the-art meth…
cs.LG2024★ 1 cited
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu, Hanchen Wang, Chen Chen +5
Graph Neural Networks (GNNs) are vital in data science but are increasingly susceptible to adversarial attacks. To help researchers develop more robust GNN models, it's essential t…
cs.LG2024★ 10 cited
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
Lincan Li, Hanchen Wang, Wenjie Zhang +1
Spatial-Temporal Graph (STG) data is characterized as dynamic, heterogenous, and non-stationary, leading to the continuous challenge of spatial-temporal graph learning. In the past…