3 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
Frano Rajič, Ivan Stresec, Axel Marmet +1
There is no such thing as a perfect dataset. In some datasets, deep neural networks discover underlying heuristics that allow them to take shortcuts in the learning process, result…
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…
Learning-based link prediction analysis for Facebook100 network
Tim Poštuvan, Semir Salkić, Lovro Šubelj
In social network science, Facebook is one of the most interesting and widely used social networks and media platforms. Its data contributed to significant evolution of social netw…