9 citations · 24 across the 11 of their papers we have counts for
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cs.IR2024
Token-Level Graphs for Short Text Classification
Gregor Donabauer, Udo Kruschwitz
The classification of short texts is a common subtask in Information Retrieval (IR). Recent advances in graph machine learning have led to interest in graph-based approaches for lo…
cs.SI2024
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
Sabrina Guidotti, Gregor Donabauer, Simone Somazzi +3
The widespread use of social media has highlighted potential negative impacts on society and individuals, largely driven by recommendation algorithms that shape user behavior and s…
cs.CL2024
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations
Gregor Donabauer, Udo Kruschwitz
Pre-training of neural networks has recently revolutionized the field of Natural Language Processing (NLP) and has before demonstrated its effectiveness in computer vision. At the…