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Our paper on speeding up Lloyd’s algorithm for k-means on high-dimensional data have been published at VLDB 2023!

A prolific year for my (freshly graduated) PhD student Judith Hermanns.

Our system idea of Knowledge Graph Exploration has been published at CIDR 2022 within the paper “Knowledge Graph Exploration Systems: are we lost”.

I typically not praise successes in my life, cause I believe everything I receive is a gift, and not my own accomplishments. However, this year I have so much to be grateful that I cannot avoid looking back and think to how lucky I am.

First paper from my PhD student Judith Hermanns “GRASP: Graph Alignment through Spectral Signatures” accepted for publication at APWeb-WAIM.

After some years, I come back to VLDB with this incredible paper “FREDE: Anytime Graph Embeddings” accepted for publication at VLDB, one of top venues for the Database community.

An incredible experience, “COLT: Few-shot Knowledge Validation using Rules” accepted for publication at TheWebConf, main venue for web technologies and graph mining.

I am very excited to share our new paper “What if neural networks had SVDs?" has been accepted for spotlight presentation at NeurIPS, one of top machine learning conferences held (sadly) online due Covid.

Our survey paper “Knowledge graph exploration: where are we and where are we going?" has just been published on SIGWEB.

Our paper “The Shape of Data: Intrinsic Distance for Data Distributions” has been accepted for poster presentation at ICLR 2020, a top machine learning conference held this year at Addis Ababa.

Our short paper “Graph-Query Suggestions for Knowledge Graph Exploration” has been accepted for oral presentation at The Web Conference 2020, a top web and data mining conference held this year at Taipei.

I am proud to announce that this year Matteo Lissandrini (Aaalborg University), Yannis Velegrakis (Utrecht University) and I are organizing the first Search, Exploration, and Analysis in Heterogeneous Datastores Workshop at EDBT/ICDT 2020.

I will visit Francesco Bonchi at the ISI research center February 17-28. I’m looking forward to collaborations and discussion in the amazing research lab there.

Our paper “Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket” has been accepted for oral presentation (9% acceptance rate) at ICDM 2019, a top data mining conference.

I will be given a talk at the IT University of Copenhagen about “The user and the machine: Blending database and machine learning for smarter devices.”

Our paper “Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging” has been accepted for oral presentation (9% acceptance rate) at KDD 2019, the top data mining conference.

Our tutorial “Exploring the Data Wilderness through Examples” has been accepted for presentation at SIGMOD 2019.

The Deutsche FoschungsGemainschaft (DFG), the German Federal Funding agency, awarded 330.000€ as a personal grant (eigenestelle) for a project on “Query correction in large knowledge graphs”. Thanks DFG!

Our paper “Mining Patterns in Graphs with Multiple Weights” has been accepted for publication in the Distributed and Parallel Databases journal.

A work in collaboration with Danai Koutra from the University of Michigan has been selected for the Amazon research award!

Thanks to Pedro Manuel Pinto I had the honor to be a speaker Graph Exploration in the Porto Winter School on Network Science.

Our book on Data Exploration Using Example-based Methods has been published by Morgan & Claypool!

I’m very excited to start as a professor in the department of Computer Science of Aarhus University. Looking forward to the start of the new adventure and the new challenges ahead.

There is little of my academic endeavors in this story, but completing a marathon with its 42.195 km is something that makes me feel proud. This year has been a very successful part of my life and I think that dreams whatever and wherever they are should be pursued. Thanks all who supported me (especially Thijs and Anna)!