Robust Generalizable Heterogeneous Legal Link Prediction
Authors: Lorenz Wendlinger, Simon Alexander Nonn, Abdullah Al Zubaer, Michael Granitzer
Institution: Universität Passau, Germany
arXiv: 2602.04812v1 | PDF
Published: February 4, 2026
Keywords: Link Prediction, Legal Tech, Graph Neural Networks
This paper improves legal citation link prediction using Graph Neural Networks (GNNs). The authors introduce R-HGE (Robust Heterogeneous Graph Enrichment), which predicts missing citations between legal cases and laws more accurately than previous methods.