Enhancing LLMs with structured data , at Stanford University 2024 link, recording
LLMs and structured data, Institute for Data Science at University of Rochester, 2024, link
Graph foundational models an overview, Machine learning on Graphs at WSDM 2024, link
Graph foundational models for sciences, University of Chicago, Jan. 2024 link
Language and graph foundational models: Distillation, Pretraining, and graph-aware LLMs Stanford University, Nov. 2023 link
Language and graph foundational models: Distillation and Pretraining, University of Minnesota Nov. 2023 link
Language and graph foundational models, Université Paris June 2023 link
GraphStorm: Combining LLMs with knowledge graphs, Computer Science University of Georgia Tech May 2023
Detecting Fraud at Amazon using GNNs at Computer Science and Engineering Dept. University of California March 2023, Santa Cruz
Active learning with GNNs using DGL at Athens, Demokritos LoG meetup 2023
Research and Development of GNNs in Amazon at Stanford LoG meetup 2022
Scaling GNNs in production: A Tale of Challenges and Opportunities at Learning on Graphs Conference 2022, link of the recording
Impactful GNNs via the DGL: A tale of scalability and effectiveness at NeurIPS 2022
Graph Neural Networks in Life Sciences: Opportunities and Solutions at KDD 2022
Graph Neural Networks in Drug Discovery at R/Pharma 2022
Scaling GNNs in production A Tale of Challenges and Opportunities at Learning on Graphs LOG 2022
GNN applications in Healthcare at American board of artificial intelligence in radiology 2022
Graph Neural Networks: Challenges and Opportunities at Rice university 2022
Graph Machine Learning Workshop at Amazon Machine learning conference 2022
GNN Practicum at Winter School & Workshop on Graph Learning and Deep Learning at Johns Hopkins University 2021
Graph Neural Networks: From model development to production at Amazon Machine learning conference 2021