2 citations · 3 across the 3 of their papers we have counts for
5 papers
Bursts and Triggers: Socially-Driven Activity in Open-Source Co-Editing Networks
Lisi Qarkaxhija, Maximilian Capraro, Stefan Menzel +2
The long-term sustainability of Open Source Software (OSS) communities depends on the activity of their developers, yet the social mechanisms driving this collective behavior remai…
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija +1
The modelling of temporal patterns in dynamic graphs is an important current research issue in the development of time-aware GNNs. Whether or not a specific sequence of events in a…
Link Prediction with Untrained Message Passing Layers
Lisi Qarkaxhija, Anatol E. Wegner, Ingo Scholtes
Message passing neural networks (MPNNs) operate on graphs by exchanging information between neigbouring nodes. MPNNs have been successfully applied to various node-, edge-, and gra…
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe +2
Natural Language Processing and Machine Learning have considerably advanced Computational Literary Studies. Similarly, the construction of co-occurrence networks of literary charac…
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
We introduce De Bruijn Graph Neural Networks (DBGNNs), a novel time-aware graph neural network architecture for time-resolved data on dynamic graphs. Our approach accounts for temp…