1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023
A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs
Adrian Kochsiek, Rainer Gemulla
Semi-inductive link prediction (LP) in knowledge graphs (KG) is the task of predicting facts for new, previously unseen entities based on context information. Although new entities…
cs.LG2023★ 1 cited
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
Adrian Kochsiek, Apoorv Saxena, Inderjeet Nair +1
We propose KGT5-context, a simple sequence-to-sequence model for link prediction (LP) in knowledge graphs (KG). Our work expands on KGT5, a recent LP model that exploits textual fe…
cs.LG2022★ 1 cited
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
Adrian Kochsiek, Fritz Niesel, Rainer Gemulla
Knowledge graph embedding (KGE) models are an effective and popular approach to represent and reason with multi-relational data. Prior studies have shown that KGE models are sensit…