Da Yan

ORCID

Publication Activity (10 Years)

Years Active: 2011-2025
Publications (10 Years): 109

Top Venues

Publications

Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
Efficient Enumeration of Large Maximal k-Plexes. EDBT (2025)
Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. KDD (2024)
Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
Efficient Enumeration of Large Maximal k-Plexes. CoRR (2024)
Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang
Faster Depth-First Subgraph Matching on GPUs. ICDE (2024)
Da Yan, Ahmed Abdeen Hamed, Jake Y. Chen, Mohammed J. Zaki
International Workshop on Data Mining in Bioinformatics (BIOKDD 2024). KDD (2024)
Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. CoRR (2024)
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI (2024)
Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. ICDE (2024)
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, Hua Lu
Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou
-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs. ICDE (2024)
Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM (2023)
Hsiang-Yun Wu, Karsten Klein, Da Yan
Effective Network Analytics: Network Visualization and Graph Data Management. IEEE Computer Graphics and Applications 43 (3) (2023)
Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). KDD (2023)
Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. ICML (2023)
Da Yan, Adam D. Smith, Cheng-Chien Chen
Structure prediction and materials design with generative neural networks. Nat. Comput. Sci. 3 (7) (2023)
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46 (4) (2023)
Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang
Accelerating k-Core Decomposition by a GPU. ICDE (2023)
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE (2023)
Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. ICLR (2023)
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML (2023)
Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph. Proc. ACM Manag. Data 1 (1) (2023)
Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. CoRR (2023)
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
Time-sensitive POI Recommendation by Tensor Completion with Side Information. ICDE (2022)
Da Yan, Hong Qin, Hsiang-Yun Wu, Jake Y. Chen
Guest Editorial for Selected Papers From BIOKDD 2020. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD (2022)
Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). SIGSPATIAL/GIS (2022)
Da Yan, Guimu Guo, Jalal Khalil, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui
G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing. VLDB J. 31 (2) (2022)
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Kahlil, Zhe Jiang, Sushil K. Prasad
Distributed Task-Based Training of Tree Models. ICDE (2022)
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan
Efficient Algorithms for Maximal k-Biplex Enumeration. SIGMOD Conference (2022)
Jalal Khalil, Da Yan, Guimu Guo, Lyuheng Yuan
Parallel mining of large maximal quasi-cliques. VLDB J. 31 (4) (2022)
Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM (2022)
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR (2022)
Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods. ACM Trans. Database Syst. 47 (2) (2022)
Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou
PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. VLDB J. 31 (2) (2022)
Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia P. Sisiopiku, Zhe Jiang
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). SIGSPATIAL/GIS (2022)
Karsten Klein, Juan F. Sequeda, Hsiang-Yun Wu, Da Yan
Bringing Graph Databases and Network Visualization Together (Dagstuhl Seminar 22031). Dagstuhl Reports 12 (1) (2022)
Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou
Center-Based iPSC Colony Counting with Multi-Task Learning. ICDM (2022)
Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan, Yuhong Liu
MentalNet: Heterogeneous Graph Representation for Early Depression Detection. ICDM (2022)
Da Yan, Catia Pesquita, Carsten Görg, Jake Y. Chen, Mohammed J. Zaki
21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022). KDD (2022)
Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
Maximal Directed Quasi -Clique Mining. ICDE (2022)
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Da Yan, Zhaohui S. Qin, Debswapna Bhattacharya, Jake Y. Chen
Guest Editorial for Selected Papers From BIOKDD 2021. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou
Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. IJCNN (2021)
Da Yan, Hong Qin, Hsiang-Yun Wu, Jake Y. Chen
Editorial: AI-Enabled Data Science for COVID-19. Frontiers Big Data 4 (2021)
Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. IJCNN (2021)
Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML (2021)
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. ICDM (2021)
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan
Efficient Algorithms for Maximal k-Biplex Enumeration. CoRR (2021)
Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. KDD (2021)
Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki
The future is big graphs: a community view on graph processing systems. Commun. ACM 64 (9) (2021)
Bo Hui, Da Yan, Wei-Shinn Ku
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. IEEE BigData (2021)
Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong
Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. Frontiers Big Data 4 (2021)
Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. GeoAI@SIGSPATIAL (2021)
Da Yan, Steve Qin, Debswapna Bhattacharya, Jake Y. Chen, Mohammed J. Zaki
20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021). KDD (2021)
Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku
EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. ICDE (2021)
Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan
Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) (2021)
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. KDD (2021)
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM (2021)
Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang
Drone-Based Tower Survey by Multi-Task Learning. IEEE BigData (2021)
Da Yan, Sharma V. Thankachan, Jake Y. Chen
Guest Editorial for Selected Papers From BIOKDD 2019. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services. IEEE BigData (2021)
Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. IEEE BigData (2021)
Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan
MentalSpot: Effective Early Screening for Depression Based on Social Contagion. CIKM (2021)
Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku
Traffic Study of Shared Micromobility Services by Transportation Simulation. IEEE BigData (2021)
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. CoRR (2020)
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. Proc. VLDB Endow. 14 (4) (2020)
Da Yan, Xin Gao, Samah J. Fodeh, Jake Y. Chen
Guest Editorial for Selected Papers from BIOKDD 2018 and DMBIH 2018. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. CoRR (2020)
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. CoRR (2020)
Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou
Parallel Mining of Frequent Subtree Patterns. SFDI/LSGDA@VLDB (2020)
Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. CIKM (2020)
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. AAAI (2020)
Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui
G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph. ICDE (2020)
Jonathan D. Wren, Yongsheng Bai, Zhaohui S. Qin, Da Yan, Ramin Homayouni
Proceedings of the 2019 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. (4) (2020)
Ramin Goudarzi Karim, Guimu Guo, Da Yan, Carmeliza Navasca
Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos. ACSSC (2020)
Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. CIKM (2020)
Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang
PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining. ICDE (2020)
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData (2020)
Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan
Lane Extraction and Quality Evaluation: A Hough Transform Based Approach. MIPR (2020)
Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki
The Future is Big Graphs! A Community View on Graph Processing Systems. CoRR (2020)
Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou
BELT: A Pipeline for Stock Price Prediction Using News. IEEE BigData (2020)
Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, Wilfred Ng
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models. IEEE BigData (2019)
Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku
Realistic Transport Simulation with Open Data. IEEE BigData (2019)
Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, John C. S. Lui, Weida Tan
T-thinker: a task-centric distributed framework for compute-intensive divide-and-conquer algorithms. PPoPP (2019)
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong
Fraction-Score: A New Support Measure for Co-location Pattern Mining. ICDE (2019)
Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore
Lightweight Fault Tolerance in Pregel-Like Systems. ICPP (2019)
Ji Cheng, Da Yan, Xiaotian Hao, Wilfred Ng
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach. ICDE (2019)
Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data. IEEE BigData (2019)
Yi Yang, Da Yan, Shuigeng Zhou, Guimu Guo
Parallel Clique-Like Subgraph Counting and Listing. ER (2019)
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
Scalable De Novo Genome Assembly Using Pregel. CoRR (2018)
Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng
G-Miner: an efficient task-oriented graph mining system. EuroSys (2018)
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
Scalable De Novo Genome Assembly Using Pregel. ICDE (2018)
Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang
GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit. IEEE Trans. Parallel Distributed Syst. 29 (1) (2018)
Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. CoRR (2018)
Fanhua Shang, Yuanyuan Liu, James Cheng, Da Yan
Fuzzy Double Trace Norm Minimization for Recommendation Systems. IEEE Trans. Fuzzy Syst. 26 (4) (2018)
Huanhuan Wu, Yunjian Zhao, James Cheng, Da Yan
Efficient Processing of Growing Temporal Graphs. DASFAA (2) (2017)
Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui
G-thinker: Big Graph Mining Made Easier and Faster. CoRR (2017)
Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore
Architectural implications on the performance and cost of graph analytics systems. SoCC (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Da Yan