NeighSqueeze: Compact Neighborhood Grouping for Efficient Billion-Scale Heterogeneous Graph Learning
Xinyue Feng(Rutgers, The State University of New Jersey), Guang Wang(Rutgers, The State University of New Jersey), Yuequn Zhang(Rutgers, The State University of New Jersey), Desheng Zhang(Guizhou University), Haotian Wang(Jingdong (China)), Shuxin Zhong, Guang Yang(Rutgers, The State University of New Jersey), Jinquan Hang(Rutgers, The State University of New Jersey)
Cited by 0
Related Papers
MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fasteners
|Computers in Industry|2020|78
Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs
|Unknown|2024|14
CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation
|Unknown|2023|13