AI RESEARCH
One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Prediction
arXiv CS.AI
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ArXi:2604.18344v1 Announce Type: new Knowledge Graphs (KGs) are composed of triples, and the goal of Knowledge Graph Completion (KGC) is to infer the missing factual triples. Traditional KGC tasks predict missing elements in a triple given one or two of its elements. As a realistic task, the Triple Set Prediction (TSP) task aims to infer the set of missing triples conditioned only on the observed knowledge graph, without assuming any partial information about the missing triples.