most citedDouble Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs

Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin +1

Fully inductive knowledge graph models can be trained on multiple domains and subsequently perform zero-shot knowledge graph completion (KGC) in new unseen domains. This is an impo…

cs.LG2023★ 2 cited

Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

Jincheng Zhou, Yucheng Zhang, Jianfei Gao +2

The task of fully inductive link prediction in knowledge graphs has gained significant attention, with various graph neural networks being proposed to address it. This task present…