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cs.LG2026
Unsupervised Graph Representation Learning with Complementary View Alignment
Zengyi Wo, Shiyu Zhang, Qiyao Peng +2
Unsupervised graph representation learning aims to derive meaningful node embeddings by capturing both structural and attribute information without relying on labeled data. Existin…
cs.LG2026
Benchmark Leakage Trap: Can We Trust LLM-based Recommendation?
Mingqiao Zhang, Qiyao Peng, Yinghui Wang +2
The expanding integration of Large Language Models (LLMs) into recommender systems poses critical challenges to evaluation reliability. This paper identifies and investigates a pre…