BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation

被引:0
|
作者
Li, Yingjie [1 ]
Agnesina, Anthony [2 ]
Zhang, Yanqing [3 ]
Ren, Haoxing [3 ]
Yu, Cunxi [1 ]
机构
[1] Univ Maryland, College Pk, MD 20742 USA
[2] NVIDIA, Austin, TX USA
[3] NVIDIA, Santa Clara, CA USA
关键词
D O I
10.23919/DATE58400.2024.10546512
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页数:2
相关论文
共 50 条
  • [41] A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn
    Liu, Zheng
    Huang, Shiluo
    Jin, Wei
    Mu, Ying
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 131
  • [42] Subspace Learning for Dual High-Order Graph Learning Based on Boolean Weight
    Wei, Yilong
    Ma, Jinlin
    Ma, Ziping
    Huang, Yulei
    ENTROPY, 2025, 27 (02)
  • [43] SATGL: an Open-source Graph Learning Toolkit for Boolean Satisfiability
    Cheng, HongTao
    Liu, Jiawei
    Zhai, Jianwang
    Zhao, Mingyu
    Yang, Cheng
    Shi, Chuan
    2024 INTERNATIONAL SYMPOSIUM OF ELECTRONICS DESIGN AUTOMATION, ISEDA 2024, 2024, : 746 - 751
  • [44] A graph-learning based model for automatic diagnosis of Sjögren's syndrome on digital pathological images: a multicentre cohort study
    Wu, Ruifan
    Chen, Zhipei
    Yu, Jiali
    Lai, Peng
    Chen, Xuanyi
    Han, Anjia
    Xu, Meng
    Fan, Zhaona
    Cheng, Bin
    Jiang, Ying
    Xia, Juan
    JOURNAL OF TRANSLATIONAL MEDICINE, 2024, 22 (01)
  • [45] Attributed Bipartite Graph Neural Networks with Motifs Information for Network Representation Learning
    Shaoqing, Lyu
    Chichi, Wang
    Tingting, Li
    Zhiqiang, Bao
    Computer Engineering and Applications, 2024, 60 (10) : 148 - 155
  • [46] Learning graph deep autoencoder for anomaly detection in multi-attributed networks
    Shao, Minglai
    Lin, Yujie
    Peng, Qiyao
    Zhao, Jun
    Pei, Zhan
    Sun, Yueheng
    KNOWLEDGE-BASED SYSTEMS, 2023, 260
  • [47] Unsupervised learning for community detection in attributed networks based on graph convolutional network
    Wang, Xiaofeng
    Li, Jianhua
    Yang, Li
    Mi, Hongmei
    NEUROCOMPUTING, 2021, 456 : 147 - 155
  • [48] Attributed Relational Graph-Based Learning of Object Models for Object Segmentation
    Akter, Nasreen
    Gondra, Iker
    IMAGE ANALYSIS AND RECOGNITION (ICIAR 2015), 2015, 9164 : 90 - 99
  • [49] Semantic Grasping Via a Knowledge Graph of Robotic Manipulation: A Graph Representation Learning Approach
    Kwak, Ji Ho
    Lee, Jaejun
    Whang, Joyce Jiyoung
    Jo, Sungho
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (04): : 9397 - 9404
  • [50] Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
    Ma, Xiao
    Hsu, David
    Lee, Wee Sun
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2022, 2022, : 8266 - 8273