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cs.LG2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Tim Poštuvan, Claas Grohnfeldt, Michele Russo +1
Anomaly detection in continuous-time dynamic graphs is an emerging field yet under-explored in the context of learning algorithms. In this paper, we pioneer structured analyses of…
cs.LG2022★ 1 cited
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
Tim Poštuvan, Jiaxuan You, Mohammadreza Banaei +2
One of the most important factors that contribute to the success of a machine learning model is a good training objective. Training objective crucially influences the model's perfo…