Yinglong Xia
Cited by
Cited by
GraphBIG: understanding graph computing in the context of industrial solutions
L Nai, Y Xia, IG Tanase, H Kim, CY Lin
Proceedings of the International Conference for High Performance Computing …, 2015
Labeling trick: A theory of using graph neural networks for multi-node representation learning
M Zhang, P Li, Y Xia, K Wang, L Jin
Advances in Neural Information Processing Systems 34, 9061-9073, 2021
LDBC Graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms
A Iosup, T Hegeman, WL Ngai, S Heldens, A Prat-Pérez, T Manhardto, ...
Proceedings of the VLDB Endowment 9 (13), 1317-1328, 2016
Decoupling the depth and scope of graph neural networks
H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ...
Advances in Neural Information Processing Systems 34, 19665-19679, 2021
Adaptive sampling schemes for clustering streaming graphs
KL Wu, Y Xia
US Patent 9,886,521, 2018
Insider threat prediction
AR Coden, CY Lin, WY Lin, Y Xia
US Patent 9,589,245, 2017
Topologically adaptive parallel breadth-first search on multicore processors
Y Xia, VK Prasanna
Proc. 21st Int’l. Conf. on Parallel and Distributed Computing Systems (PDCS’09), 2009
Revisiting graph neural networks for link prediction
M Zhang, P Li, Y Xia, K Wang, L Jin
Rawlsgcn: Towards rawlsian difference principle on graph convolutional network
J Kang, Y Zhu, Y Xia, J Luo, H Tong
Proceedings of the ACM Web Conference 2022, 1214-1225, 2022
Explainable fairness in recommendation
Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Scalable spectral clustering using random binning features
L Wu, PY Chen, IEH Yen, F Xu, Y Xia, C Aggarwal
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Joint knowledge graph completion and question answering
L Liu, B Du, J Xu, Y Xia, H Tong
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Scalable global alignment graph kernel using random features: From node embedding to graph embedding
L Wu, IEH Yen, Z Zhang, K Xu, L Zhao, X Peng, Y Xia, C Aggarwal
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Llm-rec: Personalized recommendation via prompting large language models
H Lyu, S Jiang, H Zeng, Y Xia, J Luo
arXiv preprint arXiv:2307.15780, 2023
Balancing consistency and disparity in network alignment
S Zhang, H Tong, L Jin, Y Xia, Y Guo
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Thermal face image use for health estimation
JH Lai, Y Xia, JH Hsiao, Y Zhang
US Patent App. 15/870,617, 2019
Sparkbench–a spark performance testing suite
D Agrawal, A Butt, K Doshi, JL Larriba-Pey, M Li, FR Reiss, F Raab, ...
Performance Evaluation and Benchmarking: Traditional to Big Data to Internet …, 2016
A message-passing multi-softcore architecture on FPGA for breadth-first search
Q Wang, W Jiang, Y Xia, V Prasanna
2010 International Conference on Field-Programmable Technology, 70-77, 2010
Graph analytics and storage
Y Xia, IG Tanase, L Nai, W Tan, Y Liu, J Crawford, CY Lin
2014 IEEE International Conference on Big Data (Big Data), 942-951, 2014
Deep graph neural networks with shallow subgraph samplers
H Zeng, M Zhang, Y Xia, A Srivastava, R Kannan, V Prasanna, L Jin, ...
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