Workshop Zoom link: Join Zoom Meeting
https://umich.zoom.us/j/97468040474
Meeting ID: 974 6804 0474
Passcode: 976589
Workshop recording: To be shared on the youtube channel after the workshop- https://www.youtube.com/@StrideExcellence
Session 1: 9:00 - 10:30 AM
09:00 – 09:10 AM: Opening Remarks & Introduction
09:10 – 10:10 AM - Keynote 1
Dr. Zhijing Jin (Assistant Professor, University of Toronto)
Title: Multi-Agent LLMs to Assist Causal Reasoning in Science
10:10-10:30 AM - Paper 1
Title: Causal and Neuro-Symbolic Spatial Reasoning over BIM for Health & Safety Compliance
Authors: Andrea Ibba, Rubén Alonso, Alessio Antonini, Francesco Osborne, Enrico Motta, Diego Reforgiato, Angelo Salatino (15 min presentation + 5 min Q&A)
10:30 – 11:00 AM: Coffee Break
Session 2: 11:00 AM - 12:30 PM
11:00 AM – 12:00 PM: Keynote 2
Dr. Marta Sabou (Professor, Information Systems and Business Engineering, Vienna University of Economics and Business)
Title: Towards neuro-symbolic management of causal knowledge
12:00 – 12:20 PM - Paper 2
Title: Enhancing Small Language Models Reasoning through Knowledge Graph Grounding
Authors: Dimitrios Kelesis, Konstantinos Bougiatiotis, Georgios Paliouras (15 min presentation + 5 min Q&A)
12:30 – 02:00 PM: Lunch Break
Session 3: 2:00 - 3:30 PM
02:00 – 02:20 PM - Paper 3
Tite: Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools
Authors: Konstantinos Bougiatiotis, Dimitrios Kelesis, Georgios Paliouras (15 min presentation + 5 min Q&A)
02:20 – 02:40 PM - Paper 4
Title: ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis
Authors: Phi Nguyen Xuan, Nicholas Tagliapietra, Lavdim Halilaj, Kristian Kersting, Juergen Luettin (15 min presentation + 5 min Q&A)
02:40 – 03:00 PM - Paper 5
Title: CAUSE-GNN: Causal-Constructed Similarity Graph Learning for Customer Churn Prediction
Authors: Mariana A. Ferreira, Julio Cesar dos Reis, Marcelo S. Reis (15 min presentation + 5 min Q&A)
03:30 – 04:00 PM: Coffee Break
Session 4: 4:00 - 5:30 PM
04:00 – 04:20 PM - Paper 6
Title: CausalKGAT: Enhancing GNN-based Recommenders with Causal Graphs
Authors: Juliano Leonardo Soares, Julio Cesar dos Reis, Marcelo S. Reis (15 min presentation + 5 min Q&A)
04:20 – 05:20 PM - Keynote 3
Dr. Pradeep Ravikumar (Professor of Machine Learning, Carnegie Mellon University and Lead, Neurosymbolic AI Group)
Title: From Opaque Representations to Causal Concepts: A Unified Theory of Concept Extraction
05:20 – 05:30 PM: Closing Remarks