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teaching:ss2024:graph_learning_ss24 [2024/04/02 17:17] Abhishek Saroha |
teaching:ss2024:graph_learning_ss24 [2024/05/22 11:55] (current) Abhishek Saroha |
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| The field of graph learning has recently witnessed a significant surge in interest with with emerging applications of networks on graph structured data ranging from topics in drug discovery over traffic control to guiding mathematicians intuition in the process of postulating new conjectures and and proving new theorems. | The field of graph learning has recently witnessed a significant surge in interest with with emerging applications of networks on graph structured data ranging from topics in drug discovery over traffic control to guiding mathematicians intuition in the process of postulating new conjectures and and proving new theorems. | ||
| This seminar focuses on recent research and emergent paradigms in graph learning. Possible presentation topics range from mathematical foundations to architectures tailored to specific applications such as e.g. molecular property predictions. \\ | This seminar focuses on recent research and emergent paradigms in graph learning. Possible presentation topics range from mathematical foundations to architectures tailored to specific applications such as e.g. molecular property predictions. \\ | ||
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| == Prerequisites == | == Prerequisites == | ||
