Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags (2016 · 31 citations)
Machines lack everyday knowledge about how things are composed: which objects have which parts, who belongs to which group, and what things are made of.
EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery (2026 · 10 citations)
Most current LLM-based "AI scientist" systems follow fixed, hand-built pipelines. They do not learn from what happened in earlier runs, so they may retry experiments that already failed, miss promising directions, or chase ideas that cannot be implemented. EvoScientist addresses this with a multi-agent framework that…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

Column-Oriented Datalog Materialization for Large Knowledge Graphs ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJacopo Urbani A, Ceriel J. H. Jacobs, Markus Krötzsch2016 · 52 citations
Commonsense in Parts: Mining Part-Whole Relations from the Web and Image TagsProceedings of the AAAI Conference on Artificial IntelligenceNiket Tandon, Charles Hariman, Jacopo Urbani, et al.2016 · 31 citations
EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations

Co-authors here

9 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 3 November 2026