MIXED BIDIRECTIONAL GRAPH

被引:0
|
作者
DYONG, FV
机构
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
引用
收藏
页码:120 / 122
页数:3
相关论文
共 50 条
  • [41] Scheduling via mixed graph coloring
    Sotskov, YN
    OPERATIONS RESEARCH PROCEEDINGS 1999, 2000, : 414 - 418
  • [42] Sparse graph certificates for mixed connectivity
    Fülöp, O
    DISCRETE MATHEMATICS, 2005, 294 (03) : 285 - 290
  • [43] On the least eigenvalue of a unicyclic mixed graph
    Fan, YZ
    LINEAR & MULTILINEAR ALGEBRA, 2005, 53 (02): : 97 - 113
  • [44] ON SPECTRA OF UNITARY CAYLEY MIXED GRAPH
    Adiga, Chandrashekar
    Rakshith, B. R.
    TRANSACTIONS ON COMBINATORICS, 2016, 5 (02) : 1 - 9
  • [45] Bidirectional ammonia exchange above a mixed coniferous forest
    Neirynck, J.
    Ceulemans, R.
    ENVIRONMENTAL POLLUTION, 2008, 154 (03) : 424 - 438
  • [46] Bidirectional Shadow Rendering for Interactive Mixed 360° Videos
    Wang, Lili
    Wang, Hao
    Dai, Danqing
    Leng, Jiaye
    Han, Xiaoguang
    2021 IEEE VIRTUAL REALITY AND 3D USER INTERFACES (VR), 2021, : 170 - 178
  • [47] Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning
    Zhang, Junchao
    Peng, Yuxin
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 8319 - 8328
  • [48] Bidirectional Relation Attention for Entity Alignment Based on Graph Convolutional Network
    Zuo, Yayao
    Zhan, Minghao
    Zhou, Yang
    Zhan, Peilin
    CONCEPTUAL MODELING (ER 2022), 2022, 13607 : 295 - 309
  • [49] RETRACTED: Rumor Detection with Bidirectional Graph Attention Networks (Retracted Article)
    Yang, Xiaohui
    Ma, Hailong
    Wang, Miao
    SECURITY AND COMMUNICATION NETWORKS, 2022, 2022
  • [50] IA-GM: A Deep Bidirectional Learning Method for Graph Matching
    Zhao, Kaixuan
    Tu, Shikui
    Xu, Lei
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 3474 - 3482