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Preprint Oct 2026

Revisiting Temporal Link Prediction through Structural Proximity

Existing temporal link prediction methods typically rely on learned temporal representations to capture evolving interaction patterns. In this paper, we show that a classical structural proximity measure can match or outperform these methods without training or learned temporal sequence modeling. We revisit Personalize...

Yu-Zhang Fei, Yan-Ping Zheng, Lu Yi et al. · 0 citations
Aug 2026

Certified Streaming Updates for Machine Learning Models under Limited Throughput.

This paper introduces Scalable Streaming Learning via online Sampling (S3), an efficient model-updating framework designed to handle limited-throughput streaming data while theoretically guaranteeing an approximation to the complete retrained model.

Dongxie Wen, Lu Yi, Feng-Tai Li et al. · 0 citations

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