1.8k citations · 2.1k across the 44 of their papers we have counts for
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Privacy Attacks on Network Embeddings
Michael Ellers, Michael Cochez, Tobias Schumacher +2
Data ownership and data protection are increasingly important topics with ethical and legal implications, e.g., with the right to erasure established in the European General Data P…
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data
Md. Rezaul Karim, Michael Cochez, Oya Beyan +2
The discovery of important biomarkers is a significant step towards understanding the molecular mechanisms of carcinogenesis; enabling accurate diagnosis for, and prognosis of, a c…
Structured Query Construction via Knowledge Graph Embedding
Ruijie Wang, Meng Wang, Jun Liu +2
In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language ques…
Message Passing for Complex Question Answering over Knowledge Graphs
Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres +2
Question answering over knowledge graphs (KGQA) has evolved from simple single-fact questions to complex questions that require graph traversal and aggregation. We propose a novel…
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces
Andrei Ionita, André Pomp, Michael Cochez +2
Smart cities around the world have begun monitoring parking areas in order to estimate available parking spots and help drivers looking for parking. The current results are promisi…
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares +3
Interference between pharmacological substances can cause serious medical injuries. Correctly predicting so-called drug-drug interactions (DDI) does not only reduce these cases but…