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EKG-LLM 2023 : Workshop on Enterprise Knowledge Graphs using Large Language Models


When Oct 21, 2023 - Oct 21, 2023
Where Birmingham, UK
Abstract Registration Due Sep 8, 2023
Submission Deadline Sep 10, 2023
Notification Due Sep 25, 2023
Final Version Due Oct 1, 2023
Categories    enterprise knowledge graphs   large language models   artificial intelligence

Call For Papers

Knowledge graphs can integrate diverse data sources and provide a holistic view to the downstream applications. By virtue of being structured, knowledge graphs offer transparency and interpretability to the search and recommendations applications. Combining Knowledge Graphs with current-day advances in LLMs can create several opportunities.

The EKG-LLM workshop as part of CIKM 2023, would be addressing how Large Language Models (LLMs) can help with the construction and usage of enterprise knowledge graphs. This involves improving all the aspects of EKG workflow using large language models: entity extraction, entity enrichment, EKG construction, querying EKG for search and recommendations, scenario specific EKG, etc. Through this workshop we would like to highlight research issues specific to the integration of the enterprise knowledge graphs with large language models and associated applications.

Topics of interest include but are not limited to, the following:

1. Designing Enterprise Knowledge Graph (EKG)
2. EKG Implementation
3. Scalable extraction of enterprise entities using LLMs
4. Building EKGs for specific domains or applications
5. Natural Language Processing (NLP) algorithms to build EKGs
6. Relationship extraction using large language models
7. Federated graph learning with LLMs
8. Privacy in graph algorithms
9. Privacy preserving graph construction and mining
10. Semantic reasoning based on deep learning on graph
11. Industrial applications of EKGs: banking, financing, retail, healthcare, medicine, etc.
12. Explainable AI based on EKG
13. Use of EKG and LLMs for search and recommendations

Submission Guidelines:

Submissions should be made to the EKG-LLM 2023 Easychair site ( Two-column CEUR style template ( should be followed.
Submissions should be in PDF format with upto 6 pages of content, plus references


Program Committee:
Manoj Agarwal (Senior Researcher, Discovery Intelligence, Uber Research)
Manish Bhide (CTO, AI Governance, IBM)
Mukesh Mohania (Professor, CSE, IIIT Delhi)
Prasad Deshpande (Senior Staff Software Engineer, Databricks)
Qi He (Head of AI, Nextdoor)
Ranganath Kondapally (Principal Applied Scientist, Microsoft)
Rushi Bhatt (Partner, ML Systems and Services, Microsoft)
Sauvik Ghosh (Director of AI, LinkedIn)

Workshop Chairs:
Rajeev Gupta (Principal scientist, Microsoft, India):
Srinath Srinivasa (Professor and Dean (R&D), Web Science Lab, IIIT-Bangalore):

Web Chairs:
Bhoomika A P (PhD Scholar) WSL, IIIT Bangalore
Aparna M (M.S Scholar) WSL, IIIT Bangalore:

Rajeev Gupta (Principal scientist, Microsoft, India):
Microsoft R&D India Pvt. Ltd., Hyderabad, India. Ph. +91-98186-62176.

Related Resources

IPM-LLMDQKG 2025   Special issue of Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
DL4KG 2024   The 7th Edition of Workshop on Deep Learning and Large Language Models for Knowledge Graphs
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
KGLLM 2024   Special session on Knowledge Graphs and Large Language Models
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)
KaLLM 2024   1st Workshop on Knowledge Graphs and Large Language Models
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
LLM 4 MDE & MeSS 2024   1st International Workshop Large Language Models for Model-Driven Engineering & 4th International Workshop on MDE for Smart IoT Systems
ACM-TIST 2024   [CFP]Special Issue on Integrating Large Language Models and Knowledge Graphs for Generative AI, ACM Transactions on Intelligent Systems and Technology 2024