75 citations · 228 across the 14 of their papers we have counts for
16 papers
Low-Rank Subspaces for Unsupervised Entity Linking
Akhil Arora, Alberto García-Durán, Robert West
Entity linking is an important problem with many applications. Most previous solutions were designed for settings where annotated training data is available, which is, however, not…
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation
Eda Bayram, Alberto Garcia-Duran, Robert West
The existing literature on knowledge graph completion mostly focuses on the link prediction task. However, knowledge graphs have an additional incompleteness problem: their nodes p…
MMKG: Multi-Modal Knowledge Graphs
Ye Liu, Hui Li, Alberto Garcia-Duran +3
We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KG…
Learning Representations of Missing Data for Predicting Patient Outcomes
Brandon Malone, Alberto Garcia-Duran, Mathias Niepert
Extracting actionable insight from Electronic Health Records (EHRs) poses several challenges for traditional machine learning approaches. Patients are often missing data relative t…
Knowledge Graph Completion to Predict Polypharmacy Side Effects
Brandon Malone, Alberto García-Durán, Mathias Niepert
The polypharmacy side effect prediction problem considers cases in which two drugs taken individually do not result in a particular side effect; however, when the two drugs are tak…
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert
Research on link prediction in knowledge graphs has mainly focused on static multi-relational data. In this work we consider temporal knowledge graphs where relations between entit…