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Moritz Lampert | Machine Learning on Graphs — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
heykarthik.com ↗	73 match 1 shared topics	Karthik Iyer \| Machine Learning Engineer & Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
conjectureai.com ↗	73 match 1 shared topics	ConjectureAI \| Machine Learning Solutions	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
polpuigdemont.com ↗	72 match 1 shared topics	Pol Puigdemont – Machine Learning PhD at EPFL	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vontobel.dev ↗	72 match 1 shared topics	Tobias Vontobel - Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mcml.ai ↗	71 match 1 shared topics	MCML - Munich Center for Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
anderskirkuhrenholt.co.uk ↗	71 match 1 shared topics	Anders Kirk Uhrenholt \| Machine Learning Scientist \| LLM & Recommendation Systems Expert	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
beamaia.com ↗	71 match 1 shared topics	Beatriz Maia - Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mbmlbook.com ↗	71 match 1 shared topics	Model-Based Machine Learning: an online book	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
krrishcodes.com ↗	70 match 1 shared topics	Krishanth Niresh \| Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
shrestanitech.com ↗	70 match 1 shared topics	Shrestani Tech: Quantum Machine Learning Experts \| KvantoMente	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cong-ai.com ↗	70 match 1 shared topics	CONG - Artificial Intelligence and Machine Learning based app	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
shubhanshu.com ↗	70 match 1 shared topics	Shubhanshu Mishra \| Machine Learning Researcher working on Information Extraction from Multi-Modal and Graph Structured Data	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bifold.berlin ↗	70 match 1 shared topics	BIFOLD Berlin - Big Data Management and Machine Learning	en	artificial-intelligence TYPO3	robotsllmsaihumans	emailphone	none
pontus-analytics.com ↗	70 match 1 shared topics	Pontus Analytics \| AI, Machine Learning & Advanced Analytics Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
crystsolovc.org ↗	70 match 1 shared topics	crystsolovc — AI, Machine Learning & DevOps Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dharmhpatel.com ↗	70 match 1 shared topics	Dharm Patel \| Data Science-Machine Learning Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lamarrinstitute.org ↗	70 match 1 shared topics	The Lamarr Institute for Machine Learning and Artificial Intelligence	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
lamarr-institute.org ↗	70 match 1 shared topics	The Lamarr Institute for Machine Learning and Artificial Intelligence	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.