Research groupActive
Representation Learning Group
Representation learning in graphs, knowledge graphs and weight-space models.
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.
graph neural networksself-supervised graph learninggraph representation learningknowledge graphsmulti-graph reasoningLLMs with knowledge graphsgraph constructiongraph agentsLLM hallucination detectioninformation theoryweight-space modelsOOD detectionmodel interpretabilityanomaly detectionAI4Science
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