Daniel Zügner

Graph neural networks: A review of methods and applications

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Adversarial Attack and Defense on Graph Data: A Survey

A Survey on Evaluation of Large Language Models

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Deep Learning on Graphs: A Survey

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Event processing in supply chain management – The status quo and research outlook

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts

Pushing the limits of RFID: Empowering RFID-based Electronic Article Surveillance with Data Analytics Techniques

Adversarial Attacks on Graph Neural Networks

Language-Agnostic Representation Learning of Source Code from Structure and Context