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A. Bernstein

10 papers hereh-index 529.8k citations253 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author6

Across the 8 of 10 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CY2
  • cs.DB2
  • cs.SI2
  • cs.IR1
  • cs.MM1
same name
  • A. Bernstein — 35 papers, h 29
  • A. Bernstein — 34 papers, h 45
  • A. Bernstein — 12 papers, h 14
  • A. Bernstein — 12 papers, h 25
  • A. Bernstein — 11 papers
  • A. Bernstein — 8 papers, h 25

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedInteraction Embeddings for Prediction and Explanation in Knowledge Graphs

150 citations · 193 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

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.AI2019★ 21 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.AI2019★ 150 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…

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