GNNear

Author:

Zhou Zhe1,Li Cong1,Wei Xuechao2,Wang Xiaoyang1,Sun Guangyu1

Affiliation:

1. Peking University, Beijing, China

2. Peking University and Alibaba Group, Beijing, China

Publisher

ACM

Reference124 articles.

1. 2019. Kgat : Knowledge graph attention network for recommendation . In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 950--958 . 2019. Kgat: Knowledge graph attention network for recommendation. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 950--958.

2. A scalable processing-in-memory accelerator for parallel graph processing

3. Using GPUs to speed-up FCM-based community detection in Social Networks

4. FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction

5. Hadi Asghari-Moghaddam , Young Hoon Son , Jung Ho Ahn, and Nam Sung Kim. 2016 . Chameleon : Versatile and practical near-DRAM acceleration architecture for large memory systems. In 2016 49th annual IEEE/ACM international symposium on Microarchitecture (MICRO). IEEE , 1--13. Hadi Asghari-Moghaddam, Young Hoon Son, Jung Ho Ahn, and Nam Sung Kim. 2016. Chameleon: Versatile and practical near-DRAM acceleration architecture for large memory systems. In 2016 49th annual IEEE/ACM international symposium on Microarchitecture (MICRO). IEEE, 1--13.

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1. Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation;Proceedings of the ACM on Software Engineering;2024-07-12

2. Enhancing Code Representation for Improved Graph Neural Network-Based Fault Localization;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

3. NDPBridge: Enabling Cross-Bank Coordination in Near-DRAM-Bank Processing Architectures;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

4. CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30

5. A Survey on Graph Neural Network Acceleration: A Hardware Perspective;Chinese Journal of Electronics;2024-05

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