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Research group, D-21 PWr

Representation Learning Group

Representation learning in graphs, knowledge graphs and weight-space models.

Research topics: graph neural networks · self-supervised graph learning · graph representation learning · knowledge graphs · multi-graph reasoning · LLMs with knowledge graphs

Representation Learning Group develops GNNs, self-supervised graph learning, knowledge graphs, LLM-graph integration, hallucination detection, LLM analysis and models that treat neural network weights as a data modality.

Members

7 members

Recent publications

  1. FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs

    EACL 2026 Main Conference, 2026