AI RESEARCH
PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs
arXiv CS.AI
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ArXi:2605.10529v1 Announce Type: new Biomedical knowledge graphs underwrite drug repurposing and clinical decision, yet the upstream ontologies they depend on update on independent cycles that add millions of edges and deprecate hundreds of thousands between releases. Yet existing continual graph learning has been studied almost exclusively on synthetic random splits of static, generic KGs, a regime that cannot reproduce the asynchronous, structured evolution real biomedical KGs undergo. To this end, we.