3–7 May 2027
Agenda 85 published sessions across 5 days at Cornell Tech, Roosevelt Island, New York, NY. All times are local to the venue (America/New York). The programme firms up through the spring; the KGC app keeps your own schedule in sync.
Showing 10 of 85 sessions in Deep Learning for and with Knowledge Graphs. Show the whole programme
Monday 3 May Tuesday 4 May Wednesday 5 May Thursday 6 May Friday 7 May
Monday 3 May 09:00 to 10:30 1 session
Rethinking retrieval-augmented generation over a graph Deep Learning for and with Knowledge Graphs VEEC Classroom 4 workshop Nishtha Arora Axtria Shreya Pandey Oracle 11:00 to 12:30 1 session
The case against graph features for a fraud model Deep Learning for and with Knowledge Graphs VEEC Classroom 2 workshop Jesús Barrasa Neo4j Hotragn Pettugani Northeastern University
Tuesday 4 May 09:00 to 10:30 1 session
The case against grounding an LLM in an ontology Deep Learning for and with Knowledge Graphs Tata Innovation Center Auditorium workshop Michael Clow T. Rowe Price Adam Rendek Amazon
Wednesday 5 May 13:30 to 15:00 1 session
Building grounding an LLM in an ontology that survives its second year Deep Learning for and with Knowledge Graphs Bloomberg 165 talk Yitae Jeong MetisX Mike Xu Moody's 15:30 to 17:30 1 session
The case against link prediction that survives review Deep Learning for and with Knowledge Graphs VEEC Classroom 3 talk Nikolaos Karalis Tentris
Thursday 6 May 08:30 to 09:00 1 session
Keynote: governance is the hard part, and always was Deep Learning for and with Knowledge Graphs VEEC Banquet Hall keynote HK Harmandeep Kaur University of Connecticut
11:00 to 12:30 1 session
The case against graph neural networks in production Deep Learning for and with Knowledge Graphs VEEC Classroom 4 talk Amber Lennox gdotv 13:30 to 15:00 1 session
Retrieval-augmented generation over a graph at enterprise scale Deep Learning for and with Knowledge Graphs VEEC Classroom 2 talk Janak Manek Morgan Stanley
Friday 7 May 09:00 to 10:30 1 session
Embeddings that stay current at enterprise scale Deep Learning for and with Knowledge Graphs VEEC Classroom 3 talk Suyash Nagumalli AbbVie 