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Graph Neural Networks and Transformer Reasoning at NVIDIA GTC 2024

In 2024, members of the team behind LynxKite presented at NVIDIA GTC under the Lynx Analytics name. The session, “Boosting the Reasoning Capabilities of Transformers With Graph Neural Networks,” explored how graph neural networks, transformers, and symbolic reasoning can be combined to improve AI reasoning on structured problems.

The presentation by Daniel (LynxKite co-founder and CTO) reflects part of the technical lineage now carried forward in LynxKite: graph-based reasoning, GPU-accelerated analytics, and the use of graph structure as a foundation for more reliable AI systems, such as the one co-created with the team at Hummingbird Bioscience.

We are sharing this as a technology presentation here because it helps explain some of the roots of LynxKite’s work in graph intelligence and reasoning systems.

Watch the session on NVIDIA On-Demand