most citedInteraction Embeddings for Prediction and Explanation in Knowledge Graphs

150 citations · 172 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CY2019

Cross-Cutting Political Awareness through Diverse News Recommendations

Bibek Paudel, Abraham Bernstein

The suggestions generated by most existing recommender systems are known to suffer from a lack of diversity, and other issues like popularity bias. As a result, they have been obse…

cs.DB2019

A Comparative Survey of Recent Natural Language Interfaces for Databases

Katrin Affolter, Kurt Stockinger, Abraham Bernstein

Over the last few years natural language interfaces (NLI) for databases have gained significant traction both in academia and industry. These systems use very different approaches…

cs.AI201921 cited

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Wen Zhang, Bibek Paudel, Liang Wang +5

Reasoning is essential for the development of large knowledge graphs, especially for completion, which aims to infer new triples based on existing ones. Both rules and embeddings c…

cs.AI2019150 cited

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Wen Zhang, Bibek Paudel, Wei Zhang +2

Knowledge graph embedding aims to learn distributed representations for entities and relations, and is proven to be effective in many applications. Crossover interactions --- bi-di…

cs.CY20171 cited

Data Analytics on Online Labor Markets: Opportunities and Challenges

Michael Feldman, Frida Juldaschewa, Abraham Bernstein

The data-driven economy has led to a significant shortage of data scientists. To address this shortage, this study explores the prospects of outsourcing data analysis tasks to free…