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Data, Intelligence, and Graph Team @ Télécom Paris

@dig-telecom-paris.bsky.social
22 followers 31 following 31 posts

The DIG team is part of Télécom Paris, Institut Polytechnique de Paris, France. We work on knowledge graphs, language models, foundational models, learning over tabular data, graph mining, and stream mining. Website: dig.telecom-paris.fr

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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 21/09/2026
Two more DIG papers accepted at #EMNLP2026 (Budapest, Oct 24–29): one in the main conference, one in Findings. Both find events in multivariate time series from a natural-language description, with little or no labeled data. 🧵👇 #NLP #TimeSeries
Announcement card: Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents, by Sky Chenwei Wan, Yifei Y. Wang, Tianjun Hou, Xiqing Chang and Aymeric Jan. EMNLP 2026 main conference, Budapest, 24–29 October 2026.Announcement card: Language-Guided Time-Series Event Detection with Zero-Shot Cross-Modal Grounding, by Tianjun Hou, Xiqing Chang and Sky Chenwei Wan. Findings of EMNLP 2026, Budapest, 24–29 October 2026.
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 21/09/2026
Meet our researchers at the #ISWC2026 demo & poster session in Bari (Oct 25–29) for two papers: a new version of YAGO, and a rule miner for relational databases. 🧵👇 #KnowledgeGraphs #SemanticWeb
Announcement card: YAGO 4.6: A Logically Consistent Subset of Wikidata, by Fabian M. Suchanek, Thomas Bonald, Nikola Dobričić, Marc Jeanmougin and Margherita Necchi. ISWC 2026 demo, Bari, Italy, 25–29 October 2026.Announcement card: MARITA: Mining Approximate Rules in Tables, by Pierre-Henri Paris, François Amat, Paolo Papotti and Fabian M. Suchanek. ISWC 2026 poster, Bari, Italy, 25–29 October 2026.
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 31/08/2026
How credible are corporate climate transition plans? New work by Tom Calamai, Oana Bălălău, Théo Le Guenedal & Fabian M. Suchanek, accepted at #EMNLP2026, uses NLP to examine their evaluability. Paper: suchanek.name/work/publica...
suchanek.name
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 30/08/2026
🎉 New paper accepted at #NDSS2027! "How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection" — Lorenzo Guerra, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi & Van-Tam Nguyen. arxiv.org/abs/2608.01454
arxiv.org
How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection
Provenance-based intrusion detection systems (PIDS) frequently report strong performance, but the conclusions drawn from these results can be highly sensitive to benchmarking choices and evaluation pr...
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 30/08/2026
🎉 New paper accepted at #ISWC2026! “A Benchmark for Hierarchical Link Prediction” - Lukas Ketzer, Franziska Kuch, Tim Schwabe, Mehwish Alam & Maribel Acosta. Congratulations to the authors! #KnowledgeGraphs
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 30/08/2026
🎉 New paper accepted in IEEE Transactions on Knowledge and Data Engineering! "Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods" - Xiaohua Lu, Liubov Tupikina & Mehwish Alam. Preprint: arxiv.org/abs/2506.05626 #KnowledgeGraphs #TKDE
arxiv.org
Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods
Real-world knowledge can take various forms, including structured, semi-structured, and unstructured data. Among these, knowledge graphs are a form of structured human knowledge that integrate heterog...
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 06/08/2026
We are pleased to announce that Samy Haffoudhi, Fabian Suchanek, and Nils Holzenberger have had their paper accepted at the International Semantic Web Conference (ISWC) 2026. "LELA: an LLM-based Entity Linking Approach with Zero-Shot Domain Adaptation" suchanek.name/work/publica...
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 30/06/2026
DIG researchers and collaborators have three new accepted articles: one in ACM Journal on Computing and Cultural Heritage, and two at LREC 2026. Congratulations to all authors! 1/4 #LREC2026 #JOCCH #NLP #KnowledgeGraphs
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 08/06/2026
The team of Knowledge-Aware AI of TU Dresden visited us for a two-day workshop to explore the synergies between language models and knowledge bases. Come visit us again!
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 03/06/2026
We were happy to host Julia Stoyanovich, director of the Center for Responsible AI at New York University, in the DIG seminar for her talk on Uncertainty in the Data Engineering Pipeline: From Imputation to Explanation.
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 02/06/2026
Welcome to Capucine Brillet, new PhD student at DIG! She will work on language models and knowledge bases, inspired by cognitive science. She joins us after studying mathematics at Université Paris Cité and working at ENS.
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 22/05/2026
We were happy to host Robert Wrembel from Poznan University of Technology (PUT) for an inspiring talk on Data Integration: Remaining Challenges and Research Paths.
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 20/05/2026
Congratulations to our researchers on their accepted paper at IJCAI 2026 demo track! Zacchary Sadeddine and Fabian M. Suchanek: “Neuro-Symbolic Logical Reasoning with Textual Entailment (VANESSA)” Link: suchanek.name/work/publica... #IJCAI2026
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 20/05/2026
Congratulations to our researchers on their accepted paper at IJCAI 2026 demo track! Samy Haffoudhi, Nikola Dobričić, Fabian Suchanek, and Nils Holzenberger: “LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation” Link: suchanek.name/work/publica... #IJCAI2026
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 28/04/2026
We are excited to announce that the DIG team will co-organize the HiParis Symposium on Generative AI for Biochemistry and Health! For more details, refer to the official event link: hi-paris.fr/research/sym...
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 23/04/2026
We are excited to announce that the DIG team will co-organize the 10th workshop on Automated Knowledge Base Construction (AKBC 2026)! It will take place at EMNLP 2026 in Budapest, and accepts vision, regular, and challenge papers. For more details, refer to the Workshop Link: www.akbc.ws/2026/.
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 23/04/2026
We were happy to host Elena Simperl from King’s College London for an inspiring talk on Designing Better Knowledge Engineering Assistants.
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 23/04/2026
Congratulations to Mehwish Alam for her successful Habilitation defense entitled "The Knowledge in Neurosymbolic Artificial Intelligence"!
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 05/04/2026
Mohamed Islem KARA BERNOU is joining the DIG team for a PhD to work on verifying the outputs of language models with the help of knowledge bases. Welcome, Mohamed Islem KARA BERNOU!
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 17/03/2026
We're happy to welcome Chenwei Wan to the DIG team as a research engineer! Chenwei will work on Non-named entity representation in knowledge bases, with the goal to start a thèse CIFRE with Schlumberger. Welcome, ChenWei!
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 13/03/2026
Congratulations to Marc Jeanmougin and Théo Zimmermann for receiving the “Engagement, Pedagogy, and Teaching” award (emerging initiative category) from Institut Mines-Télécom (IMT) for their innovative course on open-source contributions!
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 09/03/2026
Congratulations to Cristian Santini, Marieke van Erp, and Mehwish Alam for their EACL 2026 paper “It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models”! PDF preprint at arxiv.org/pdf/2601.08500 #LLM
arxiv.org
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 09/03/2026
We're happy to launch our revamped BlueSky channel, Mastodon channel, and Website! Follow us for news on knowledge graphs, language models, foundational models, learning over tabular data, graph representation learning, graph mining, and stream mining! Web site and links: dig.telecom-paris.fr
dig.telecom-paris.fr
DATA, INTELLIGENCE & GRAPHS
Research Team @ Institut Polytechnique de Paris
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Reposted by Data, Intelligence, and Graph Team @ Télécom Paris
Mehwish Alam @emalam.bsky.social · 06/01/2026
Our article "It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using LLMs" has been accepted to #eacl2026 Cristian Santini & Marieke van Erp. MHEL-LLaMo uses a combination of #slms and #llms for entity linking. Preprint: tinyurl.com/2h8uphyh
hal.science
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Reposted by Data, Intelligence, and Graph Team @ Télécom Paris
Fabian M. Suchanek @suchanek.name · 07/12/2025
Our article on the societal challenges posed by Large Language Models is now available at SIGIR Forum: sigir.org/wp-content/u... Thanks to Zacchary Sadeddine, Winston Maxwell and @gaelvaroquaux.bsky.social !
Large Language Models (LLMs) may one day replace search engines as the primary portal
to information on the Web. In this opinion paper, we investigate the societal challenges
that such a change could bring. We focus on the roles of LLM Providers, Content Creators,
and End Users, and identify 15 types of challenges. With each, we show current mitigation
strategies – both from the technical perspective and the legal perspective. We also discuss
the impact of each challenge and point out future research opportunities.
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Reposted by Data, Intelligence, and Graph Team @ Télécom Paris
Mehwish Alam @emalam.bsky.social · 19/06/2025
Thrilled to announce that our paper on “T-REX: Table – Refute or Entail eXplainer” w/ Tim Luka Horstmann and Baptiste Geisenberger has been accepted at #ecmlpkdd2025 - Demo track. It performs verification of factual claims over tabular data using #opensource #llms GitHub: shorturl.at/t715r
t-rex.r2.enst.fr
T-REX: Table - Refute or Entail eXplainer
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Data, Intelligence, and Graph Team @ Télécom Paris @dig-telecom-paris.bsky.social · 17/12/2025
Hello World! Welcome to the Bluesky page of Data, Intelligence, and Graph team at Tèlècom Paris, Institut Polytechnique de Paris. Stay tuned for the highlights of the scientific activities of our team. For more details visit our website linked in Bio.
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