EKG-LLM 2023
Enterprise Knowledge Graphs using Large Language Models

Table of Contents

• Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume. Finally, the proceedings were supplemented with the abstracts of invited talks.

Invited Talks

• Lessons from the Age of User-Generated Content for the Age of AI-Generated Content
  Nishanth Sastry
• Enhancing Enterprise Knowledge Base Construction with Fine-Tuned Generative Language Models
  Liana Mikaelyan
• Building Knowledge Graph for Products at Scale and Infusing it in to LLMs
  Manoj Agarwal
• LLMs for Social Networks: Applications, Challenges and Solutions
  Bojan Babic
• Can Machines Discover New Knowledge?
  Fabio Petroni

Paper Session

• EduEmbedd - A Knowledge Graph Embedding for Education
  Anurag Mohanty
• Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs
  Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
• Cognitive Retrieve: Empowering Document Retrieval with Semantics and Domain Specific Knowledge Graph
  Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E Venugopal
• CRUSH: Cybersecurity Research using Universal LLMs and Semantic Hypernetworks
  Mohit Sewak, Vamsi Emani, Annam Naresh
• StATIK+: Structure and Text for Inductive Knowledge Graph Modeling and Paths towards Enterprise Implementations
  Elan S Markowitz, Aram Galstyan