4 citations · 4 across the 3 of their papers we have counts for
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cs.LG2026
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
Xixun Lin, Zhiheng Zhou, Zhengyin Zhang +9
Graph classification is a core task in graph data mining with widespread real-world applications. Recent advances in graph neural networks (GNNs) have led to substantial performanc…
cs.LG2020★ 4 cited
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Ge Zhang, Mike A. Merrill, Yang Liu +2
Large scale analysis of source code, and in particular scientific source code, holds the promise of better understanding the data science process, identifying analytical best pract…