Enhancing Graph Random Walk Acceleration via Efficient Dataflow and Hybrid Memory Architecture
Author:
Affiliation:
1. University of Science and Technology of China, Hefei, Anhui, China
2. Changxin Memory Technologies, Hefei, Anhui, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Youth Innovation Promotion Association CAS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/12/10431415/10380207.pdf?arnumber=10380207
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1. Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
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4. Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation
5. Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach
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