most citedPrivacy Attacks on Network Embeddings

7 citations · 10 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CL20202 cited

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…

eess.IV2020

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…

cs.AI2020

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…

cs.LG20197 cited

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…

q-bio.QM2019

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…

cs.CL2019

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…