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20242026
most citedGraph Machine Learning in the Era of Large Language Models (LLMs)

5 citations · 6 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.LG2026

Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation

Yu Song, Zhigang Hua, Yan Xie +5

Graph-structured data plays a pivotal role in modeling complex relationships. However, real-world graphs are often incomplete due to data collection and observational constraints,…

cs.IR2026

An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation

Haoyu Han, Li Ma, Hanbing Wang +9

Sequential recommendation has increasingly shifted toward generative recommenders that combine sequential patterns with semantic item information. Yet these methods are often evalu…