1.8k citations · 2.1k across the 44 of their papers we have counts for
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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…
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…
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae +1
Exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices but also enables people to expre…
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images
Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann +3
Amid the coronavirus disease(COVID-19) pandemic, humanity experiences a rapid increase in infection numbers across the world. Challenge hospitals are faced with, in the fight again…
Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez +15
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that requ…
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…