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researcher

Jan van den Bussche

18 papers hereh-index 222 citations4 works total

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

author position
  • first author1
  • middle author6
  • last author11

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.DB8
  • cs.LG4
  • cs.LO4
  • cs.AI1
  • cs.NE1
same name
  • Jan Van den Bussche — 31 papers, h 31
  • Jan Van den Bussche — 2 papers
  • Jan Van den Bussche — 2 papers, h 5
  • Jan Van den Bussche — 1 paper

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
20022026
most citedTowards practical meta-querying

19 citations · 51 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.DB2022

Expressiveness within Sequence Datalog

Heba Aamer, Jan Hidders, Jan Paredaens +1

Motivated by old and new applications, we investigate Datalog as a language for sequence databases. We reconsider classical features of Datalog programs, such as negation, recursio…

cs.DB2022

What Can Database Query Processing Do for Instance-Spanning Constraints?

Heba Aamer, Marco Montali, Jan Van den Bussche

In the last decade, the term instance-spanning constraint has been introduced in the process mining field to refer to constraints that span multiple process instances of one or sev…

cs.DB2022

Temporal graph patterns by timed automata

Amir Pouya Aghasadeghi, Jan Van den Bussche, Julia Stoyanovich

Temporal graphs represent graph evolution over time, and have been receiving considerable research attention. Work on expressing temporal graph patterns or discovering temporal mot…

cs.AI2022★ 5 cited

On the expressive power of message-passing neural networks as global feature map transformers

Floris Geerts, Jasper Steegmans, Jan Van den Bussche

We investigate the power of message-passing neural networks (MPNNs) in their capacity to transform the numerical features stored in the nodes of their input graphs. Our focus is on…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.