Search Results - "Huan, Chengying"

TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications by Huan, Chengying, Liu, Yongchao, Zhang, Heng, Liu, Hang, Chen, Shiyang, Song, Shuaiwen Leon, Wu, Yanjun

“…Temporal graphs are widely used for time-critical applications, which enable the extraction of graph structural information with temporal features but cannot…”
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TeGraph: A Novel General-Purpose Temporal Graph Computing Engine by Huan, Chengying, Liu, Hang, Liu, Mengxing, Liu, Yongchao, He, Changhua, Chen, Kang, Jiang, Jinlei, Wu, Yongwei, Song, Shuaiwen Leon

“…Temporal graphs attach time information to edges and are commonly used for implementing time-critical applications that can not be effectively processed by…”
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G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs by Jin, Yue, Huan, Chengying, Zhang, Heng, Liu, Yongchao, Song, Shuaiwen Leon, Zhao, Rui, Zhang, Yao, He, Changhua, Chen, Wenguang

“…Graph Neural Network (GNN) learning over non-Euclidean graph data has recently drawn a rapid increase of interest in many domains. Generalized sparse…”
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Tango: Rethinking Quantization for Graph Neural Network Training on GPUs by Chen, Shiyang, Zheng, Da, Ding, Caiwen, Huan, Chengying, Ji, Yuede, Liu, Hang

“…Graph learning is becoming increasingly popular due to its superior performance in tackling many grand challenges. While quantization is widely used to…”
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Tango: rethinking quantization for graph neural network training on GPUs by Chen, Shiyang, Zheng, Da, Ding, Caiwen, Huan, Chengying, Ji, Yuede, Liu, Hang

“…Graph Neural Networks (GNNs) are becoming increasingly popular due to their superior performance in critical graph-related tasks. While quantization is widely…”
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