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Amin
Assareh
VP, Data Science & Adjunct Professor
Fidelity Investments
Amin is a vastly experienced data scientist and machine learning specialist. Following roles at Case Western Reserve, Liberty Mutual Insurance and Collaborative, he is now VP, Data Science at Fidelity Investments, and Adjunct Professor at Northeastern University
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30 October 2025 16:00 - 16:20
Graph foundation models: Hype, reality, and the path forward
Foundation models have transformed language, but can they conquer the final frontier of AI: the complex, interconnected world of graphs? Graph Foundation Models (GFMs) promise a universal AI for networks, capable of unlocking discoveries in everything from social dynamics to drug development and supply chain analysis. This talk cuts through the hype to offer a frank assessment of the current state of GFMs, outstanding challenges and lays out a realistic course for the future, structured around four key takeaways: → The GFM Paradigm: Understanding how large AI models are being adapted to learn universal patterns from network data. → Core Architectures: A critical review and comparison of the different foundation model architectures being developed for GFMs. → Key Challenges: Delving into the major obstacles facing GFMs, including scalability bottlenecks, data scarcity and diversity, the complexities of non-Euclidean structures, and fundamental architectural uncertainty. →Next Steps: Identifying the crucial research and engineering breakthroughs required to make GFMs a practical reality.