workshop

Long-Range Synthetic Knowledge Graph Benchmarks for Double-Equivariant Models
In the landscape of relational data, Knowledge Graphs (KGs) structure triplets of the form (head entity, relation, tail entity). Recent …
Bruna Jasinowodolinski, Yucheng Zhang, Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro
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Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
The task of inductive link prediction in discrete attributed multigraphs (e.g., knowledge graphs, multilayer networks, heterogeneous …
Jianfei Gao, Yangze Zhou, Jincheng Zhou, Bruno Ribeiro
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An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes
The task of inductive link prediction in (discrete) attributed multigraphs infers missing attributed links (relations) between nodes in …
Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro
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