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	Reducing communication in graph neural network training (PASSION Lab) View
	[EuroSys'21] FlexGraph: A Flexible and Efficient Distributed Framework for GNN Training (Long) (Lei Wang) View
	Deep Learning - 10.1 (Graph Neural Networks: Machine Learning on Graphs) (Tübingen Machine Learning) View
	Technical Presentation: PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks ... (Rice Ken Kennedy Institute) View
	FAST '25 - LeapGNN: Accelerating Distributed GNN Training Leveraging Feature-Centric Model Migration (USENIX) View
	Delay-oriented Distributed Scheduling using Graph Neural Networks (Zhongyuan Zhao) View
	Performance Analysis of Graph Neural Network Frameworks (IEEEComputerSociety) View
	USENIX Security '22 - DeepDi: Learning a Relational Graph Convolutional Network Model on Instruction (USENIX) View
	[MLSys 2022] BNS-GCN (Efficient and Intelligent Computing Lab) View
	Session 9: EANA: Reducing Privacy Risk on Large scale Recommendation Models (ACM RecSys) View