73 citations · 113 across the 15 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 14 cited
Complex Query Answering with Neural Link Predictors
Erik Arakelyan, Daniel Daza, Pasquale Minervini +1
Neural link predictors are immensely useful for identifying missing edges in large scale Knowledge Graphs. However, it is still not clear how to use these models for answering more…
cs.CL2020★ 73 cited
Inductive Entity Representations from Text via Link Prediction
Daniel Daza, Michael Cochez, Paul Groth
Knowledge Graphs (KG) are of vital importance for multiple applications on the web, including information retrieval, recommender systems, and metadata annotation. Regardless of whe…
cs.AI2020★ 5 cited
Message Passing Query Embedding
Daniel Daza, Michael Cochez
Recent works on representation learning for Knowledge Graphs have moved beyond the problem of link prediction, to answering queries of an arbitrary structure. Existing methods are…