MLSP-P36.8
FINCGAN: A GAN FRAMEWORK OF IMBALANCED NODE CLASSIFICATION ON HETEROGENEOUS GRAPH NEURAL NETWORK
Hung Chun Hsu, National Taiwan University and Academia Sinica, Taiwan; Ting-Le Lin, Bo-Jun Wu, National ChengChi University, Taiwan; Ming-Yi Hong, National Taiwan University and Academia Sinica, Taiwan; Che Lin, National Taiwan University, Taiwan; Chih-Yu Wang, Academia Sinica, Taiwan
Session:
MLSP-P36: Graph Neural Networks IV Poster
Track:
Machine Learning for Signal Processing
Location:
Poster Zone 3A
Poster Board PZ-3A.8
Poster Board PZ-3A.8
Presentation Time:
Fri, 19 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Eleonora Grassucci, Sapienza University of Rome
Session MLSP-P36
MLSP-P36.1: BOOSTING ZERO-SHOT NODE CLASSIFICATION VIA DEPENDENCY CAPTURE AND DISCRIMINATIVE FEATURE LEARNING
Wenxin Liang, Zhiliang Hao, Han Liu, Dalian University of Technology, China; Hongyang Chen, Zhejiang Lab, China
MLSP-P36.2: Hierarchical Attacks on Large-Scale Graph Neural Networks
Jianfu Zhang, Shanghai Jiao Tong University, China; Yan Hong, Ant Group, China; Dawei Cheng, Tongji University, China; Liqing Zhang, Shanghai Jiao Tong University, China; Qibin Zhao, RIKEN AIP, Japan
MLSP-P36.3: SEEKING SIMILARITIES WHILE REMOVING DIFFERENCES: GRAPH NEURAL NETWORKS BASED ON NODE CORRELATION
Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang, Nanjing University, China
MLSP-P36.4: REPRESENTATION LEARNING ACROSS FEATURE AND TOPOLOGY VIEWS WITH OUTPUT CORRECTION FOR GRAPH CONVOLUTIONAL NETWORKS
Shuhao Shi, Zhengyan Wang, Jian Chen, Kai Qiao, Jie Yang, Bin Yan, PLA strategy support force information engineering university, China
MLSP-P36.5: DISENTANGLED GRAPH REPRESENTATION WITH CONTRASTIVE LEARNING FOR RUMOR DETECTION
Haoyu Liu, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China; Yuanhai Xue, Institute of Computing Technology, Chinese Academy of Sciences, China; Xiaoming Yu, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China
MLSP-P36.6: Spectral Graph Neural Networks with Generalized Laguerre Approximation
Zhengpin Li, Jian Wang, Fudan University, China
MLSP-P36.7: EXPLOITING SPATIAL-TEMPORAL DATA FOR SLEEP STAGE CLASSIFICATION VIA HYPERGRAPH LEARNING
Yuze Liu, Ziming Zhao, Tiehua Zhang, Ant Group, China; Kang Wang, Wuhan University of Technology, China; Xin Chen, Xiaowei Huang, Jun Yin, Ant Group, China; Zhishu Shen, Wuhan University of Technology, China
MLSP-P36.8: FINCGAN: A GAN FRAMEWORK OF IMBALANCED NODE CLASSIFICATION ON HETEROGENEOUS GRAPH NEURAL NETWORK
Hung Chun Hsu, National Taiwan University and Academia Sinica, Taiwan; Ting-Le Lin, Bo-Jun Wu, National ChengChi University, Taiwan; Ming-Yi Hong, National Taiwan University and Academia Sinica, Taiwan; Che Lin, National Taiwan University, Taiwan; Chih-Yu Wang, Academia Sinica, Taiwan
MLSP-P36.9: PHYSICS-GUIDED VARIATIONAL GRAPH AUTOENCODER FOR AIR QUALITY INFERENCE
Esther Rodrigo Bonet, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
MLSP-P36.10: Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints
Zhe Zhao, Pengkun Wang, University of Science and Technology of China, China; Haibin Wen, Shaoguan University, China; Yudong Zhang, Binwu Wang, Yang Wang, University of Science and Technology of China, United States of America
MLSP-P36.11: EXPLORING SELF-EXPLAINABLE STREET-LEVEL IP GEOLOCATION WITH GRAPH INFORMATION BOTTLENECK
Kai Yang, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, University of Electronic Science and Technology of China, China; Yong Wang, Hong Kong University of Science and Technology, China; Fan Zhou, University of Electronic Science and Technology of China, China
MLSP-P36.12: FACILITATING MESSAGE PASSING WITH POTENTIAL LINKS FOR KNOWLEDGE GRAPH COMPLETION
Hong Yin, Jiang Zhong, Rongzhen Li, Jiaqi Wang, Chen Wang, Qizhu Dai, Chongqing University, China; Xue Li, The University of Queensland, China
Contacts