| Website | https://pmonnin.github.io/ |
| ORCID | https://orcid.org/0000-0002-2017-8426 |
These last three weeks, I had the chance to be back at Università degli Studi di Bari as an invited researcher, to continue working with Claudia d'Amato on neuro-symbolic AI and knowledge graphs, after a first research visit in 2024.
I also delivered a seminar to the PhD school of Computer Science and Mathematics, entitled: "The Schema Strikes Back: Refining #KnowledgeGraphs with Neuro-Symbolic AI".
Very glad to be at @istecnico, @ULisboa_, @InescID for a research visit of 2 weeks, with Miguel Couceiro.
If you're in the area and would like to talk about #knowledgeGraphs or #neuroSymbolic #ArtificialIntelligence, feel free to reach out!
📢 [JOB] We have an open fixed-term research engineer position (18months)!
Within the French national research project AT2TA on analogical reasoning, you will develop a platform of web services showcasing our research results on several fields, e.g. Natural Language Processing and Knowledge Graphs.
Feel free to contact me!
More info: https://pmonnin.github.io/documents/AT2TA-job-engineer.pdf
#hiring #research #job #largeLanguageModels #LLM #artificialIntelligence #machineLearning #naturalLanguageProcessing #knowledgeGraph
Very glad to announce KGPrune, a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning, accepted as a demo paper at #ECAI 2024! Looking forward to feedback and great use cases from the community!
📺 https://youtu.be/mt5gF4ZmhGY
🌐 https://kgprune.loria.fr/
📎 https://inria.hal.science/hal-04678284v1
#knowledgeGraph #artificialIntelligence #semanticWeb #linkedOpenData #knowledgeGraphConstruction #Wikidata
Very glad to announce that we got 2 best paper awards at #ESWC2024 for our works about PyGraft (resource track) and semantically enhanced loss functions to learn graph #embedding (research track)! Congratulations Nicolas Hubert!
#knowledgeGraph #syntheticData #neuroSymbolicAI #ArtificialIntelligence #semanticWeb #linkPrediction #graphEmbedding
Very happy to announce our new paper accepted in @eswc_conf
#ESWC2024: "Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction"!
📎 https://arxiv.org/pdf/2303.00286.pdf
w/ N. Hubert, A. Brun, and D. Monticolo
#knowledgeGraph #semanticWeb #machineLearning #linkPrediction #neurosymbolicAI #artificialIntelligence #linkedOpenData #graphEmbeddings #embeddings #graphNeuralNetworks
Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!
Paper: https://arxiv.org/pdf/2309.03685.pdf
Code: https://github.com/nicolas-hbt/pygraft
PyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing
Today marks the last day of my visit to the University of Bari to work with Claudia d'Amato. It has been an amazing experience to exchange and set up new research ideas, meet many passionate researchers, and present my work during a seminar of the PhD school.
I thank Claudia again for this great opportunity, the I3S lab for funding this visit, and I'm looking forward to the next steps of our joint work.
#research #knowledgeGraph #machineLearning #neuroSymbolicAI #artificialIntelligence