머신러닝/[논문] How powerful are Graph Neural Networks [ICLR '19] Now Hyun 2020. 10. 26. 00:00 ICLR 19년도에 제출된 'How powerful are Graph Neural Networks' 논문 HowPowerfulAreGraphNeuralNetworks(2019).pdf 1.34MB 의 정리 자료입니다 공유하기 게시글 관리 생각정리 저작자표시 '머신러닝 > [논문]' 카테고리의 다른 글 Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution [KDD'18] (0) 2021.02.04 Distilling Knowledge from Graph Convolutional Networks [CVPR '20] (0) 2021.01.09 Shallow-Deep Networks: Understanding and Mitigating Network Overthinking [ICMR '19] (0) 2020.09.26 BERT: Pretraining of Deep Bidirectional Transformers for Language Understanding [NAACL '19] (0) 2020.09.10 Google's Neural Machine Translation System (0) 2020.09.01 '머신러닝/[논문]' Related Articles Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution [KDD'18] Distilling Knowledge from Graph Convolutional Networks [CVPR '20] Shallow-Deep Networks: Understanding and Mitigating Network Overthinking [ICMR '19] BERT: Pretraining of Deep Bidirectional Transformers for Language Understanding [NAACL '19]