NORA 2025
Knowledge Graphs & Agentic Systems Interplay 2025

Table of Contents

• Preface
  Summary: There were 24 papers submitted for peer-review to this workshop, 18 were accepted i.e. 6 for oral presentations and 12 as posters. Out of these, 10 papers were accepted for this volume: 1 as a short paper and 9 as long papers.

Papers

• Graph Distance as Surprise: Free Energy Minimization in Knowledge Graph Reasoning 1-8
  Gaganpreet Jhajj, Fuhua Lin
• Agentic Knowledge Computing for Automated Biomarker Validation: Triangulated Causal Graph Construction in ALS Research 9-29
  Krishna Nidamarthi, Kevin Zhu
• Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation 30-41
  Gaganpreet Jhajj, Fuhua Lin
• Validation-Gated Hebbian Learning for Adaptive Agent Memory 42-54
  Pragya Singh, Stanley Yu
• AgentTravel: Knowledge-Augmented LLM Agent Framework for Urban Travel Planning 55-67
  Jie Zhao, Jie Feng, Yong Li
• Biomedical Evidence Retrieval with Agentic RAG and Dual Text Encoders 68-72
  Dhruv Goyal, Ema Seibert, Ryan Ding, Matteo Migliarini, Kevin Zhu
• ATLAS: Benchmarking and Adapting LLMs for Global Trade via Harmonized Tariff Code Classification 73-83
  Pritish Yuvraj, Siva Devarakonda
• RAPTOR: Reasoned Agentic Portfolio Trading with Orchestrated Rebalancing 84-94
  Blake Almon, Matthew Caliboso, Alex Kim, Rohan Dutta, Rohan Raman, Mithil Srungarapu, Vasu Sharma, Kevin Zhu, Sunishchal Dev
• Measuring What Matters: Probing Transit Reasoning Consistency in Large Language Models 95-108
  Hariram Veeramani, Surendrabikram Thapa, Usman Naseem
• RuleSum: Injecting Rulesets into Knowledge Graphs for Accurate and Accessible Legal Summarization 109-118
  Saumya Chauhan, Aditi Chandrashekar