Tutorials

An Introduction to Federated Computation

Assessing Research Impact by Leveraging Open Scholarly Knowledge Graphs

Automated Machine Learning for Recommendations: Fundamentals and Advances

Completeness, Recall, and Negation in Open-World Knowledge Bases

Data Democratisation with Deep Learning: An Analysis of Text-to-SQL Systems

DBpedia Knowledge Graph Tutorial

Interpretable Network Representations

Mitigating Societal Harms of Large Language Models

Modern Natural Language Processing Techniques for Scientific Web Mining: Tasks, Data, and Tools

Opinion Formation in Social Networks: Models and Computational Problems

Self-Supervised Learning in Recommendation: Fundamentals and Advances

Causal Recommendation: Progresses and Future Directions

Cryptoasset Analytics: Data, Fundamental Concepts, and Open Source Tools

Deep Learning on Graphs for Natural Language Processing

Fact-Checking, Fake News, Propaganda, and Media Bias

Hyperbolic Neural Networks: Theory, Architectures and Applications

KGTK: Tools for Creating and Exploiting Large Knowledge Graphs

Psychology-informed Recommender Systems: A Human-centric Perspective on Recommender Systems

Trustworthy AI: A Computational Perspective

Web Stream Processing with RSP4J and OntopStream