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Conference Open access Sep 2026

History Doesn’t Repeat, but Its Patterns Echo: A Parallel Pairwise Negative-Sampling Framework for Temporal Link Prediction

This paper proposes ATNSF, a temporal graph learning framework with a hybrid negative sampling strategy that uses a portion of historical edges as hard negatives and introduces a pairwise sampled softmax loss that contrasts each positive instance with a batch of negatives to learn more discriminative representations.

Yong-Chun Jiang, Heng Zhang, Jian Gao et al. · 0 citations
Book Open access Aug 2026

Natural Language-Powered Functional Protein Sequence and Structure Co-Design with Multi-Modal Knowledge Fusion

This work proposes a Protein sequence–structure–function Consistency Design model empowered by Natural Language function description, dubbed ProtcdNl, which expands the protein design space and ensures alignment with function-aware framework, achieving the design of novel, diverse proteins with high functional fidelity...

Ming Yang, Xin Zheng, Yi Li et al. · 0 citations

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