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papersTODAY 04:00 UTC

arXiv Paper Proposes Temporally Enhanced Signed Graph Neural Networks for Link Prediction

A revised arXiv preprint presents a graph neural network approach for predicting links in temporal signed networks, which capture how cooperative and adversarial relationships evolve over time. The authors motivate the work with applications including social media analysis, trust and reputation systems, and financial transaction networks. The paper's abstract excerpt focuses on the method's design for handling dynamic, sign-aware graph structure.

arXiv Temporally Enhanced Signed Graph Neural Networks Link Prediction graph neural networks temporal-signed-networks trust-and-reputation-systems

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGDynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks ↗TODAY 04:00 UTC