DCIM-GCN

Author:

Qiu Yikan1,Ma Yufei1,Zhao Wentao1,Wu Meng1,Ye Le1,Huang Ru1

Affiliation:

1. Peking University, Beijing, China

Funder

111 Project

National Science Foundation of China

Key R&D Program of Zhejiang Province of China

Publisher

ACM

Reference39 articles.

1. Thomas N. Kipf and Max Welling. Semi-supervised classification with graph convolutional networks . In International Conference on Learning Representations (ICLR) , 2017 . Thomas N. Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. In International Conference on Learning Representations (ICLR), 2017.

2. A Comprehensive Survey on Graph Neural Networks

3. Matthias Fey and Jan Eric Lenssen . Fast graph representation learning with pytorch geometric , 2019 . Matthias Fey and Jan Eric Lenssen. Fast graph representation learning with pytorch geometric, 2019.

4. Zhihao Jia , Sina Lin , Mingyu Gao , Matei Zaharia , and Alex Aiken . Improving the accuracy, scalability, and performance of graph neural networks with roc. In I. Dhillon, D. Papailiopoulos, and V. Sze, editors , Proceedings of Machine Learning and Systems , volume 2 , pages 187 -- 198 , 2020 . Zhihao Jia, Sina Lin, Mingyu Gao, Matei Zaharia, and Alex Aiken. Improving the accuracy, scalability, and performance of graph neural networks with roc. In I. Dhillon, D. Papailiopoulos, and V. Sze, editors, Proceedings of Machine Learning and Systems, volume 2, pages 187--198, 2020.

5. Deep Learning on Graphs: A Survey

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks;ACM Transactions on Architecture and Code Optimization;2024-05-21

2. IMGA: Efficient In-Memory Graph Convolution Network Aggregation With Data Flow Optimizations;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12

3. GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

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