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09/13/2022
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
We present evidence for the existence and effectiveness of adversarial a...
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07/23/2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Recent work has shown that graph neural networks (GNNs) are vulnerable t...
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05/21/2021
RFID-based Article-to-Fixture Predictions in Real-World Fashion Stores
In recent years, Radio Frequency Identification (RFID) technology has be...
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04/02/2021
Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
As a tool for capturing irregular temporal dependencies (rather than res...
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04/02/2021
Limiting Tags Fosters Efficiency
Tagging facilitates information retrieval in social media and other onli...
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02/19/2021
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
Wikipedia, the largest encyclopedia ever created, is a global initiative...
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01/21/2021
Synwalk – Community Detection via Random Walk Modelling
Complex systems, abstractly represented as networks, are ubiquitous in e...
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10/30/2020
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks
Graph Neural Networks (GNNs) are effective in many applications. Still, ...
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03/30/2020
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
In this work, we study the utility of graph embeddings to generate laten...
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10/28/2016