Towards Foundation Models for Graphs

Explore the cutting-edge research on foundation models for graphs in this insightful lecture by Michael Brontstein from Oxford University. Delve into the potential applications and challenges of developing large-scale pre-trained models for graph-structured data, drawing parallels with the success of foundation models in natural language processing and computer vision. Gain a deeper understanding of how these models could revolutionize various fields, including social network analysis, molecular biology, and recommendation systems. Learn about the latest advancements in graph neural networks and their role in building more powerful and versatile graph-based AI systems. Discover the implications of this research for decoding communication in nonhuman species, as part of the "Decoding Communication in Nonhuman Species III" series co-hosted with Project CETI.

Towards Foundation Models for Graphs