Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks - researchr publication authors

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Shuai Zhang 0015, Meng Wang 0003, Pin-Yu Chen, Sijia Liu 0001, Songtao Lu, Miao Liu. Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023. OpenReview.net, 2023. [doi]

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