Papers by Rakshit Trivedi

1 papers
LinkNBed: Multi-Graph Representation Learning with Entity Linkage (P18-1)

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Challenge: Knowledge graphs have emerged as an important model for studying complex multi-relational data.
Approach: They propose a deep relational learning framework that learns entity and relationship representations across multiple graphs.
Outcome: The proposed framework improves on the state-of-the-art relational learning approaches and identifies entity linkage across graphs.

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