Obserwuj
Bingbing Xu
Tytuł
Cytowane przez
Cytowane przez
Rok
Graph wavelet neural network
B Xu, H Shen, Q Cao, Y Qiu, X Cheng
arXiv preprint arXiv:1904.07785, 2019
4112019
Graph convolutional networks using heat kernel for semi-supervised learning
B Xu, H Shen, Q Cao, K Cen, X Cheng
arXiv preprint arXiv:2007.16002, 2020
1462020
A survey on graph convolutional neural network
B Xu, K Cen, J Huang, H Shen, X Cheng
Chinese Journal of Computers 43 (5), 755-780, 2020
912020
图卷积神经网络综述
徐冰冰, 岑科廷, 黄俊杰, 沈华伟, 程学旗
计算机学报 43 (5), 755-780, 2020
792020
Towards consumer loan fraud detection: Graph neural networks with role-constrained conditional random field
B Xu, H Shen, B Sun, R An, Q Cao, X Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4537-4545, 2021
652021
Label-consistency based graph neural networks for semi-supervised node classification
B Xu, J Huang, L Hou, H Shen, J Gao, X Cheng
Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020
442020
Company-as-tribe: Company financial risk assessment on tribe-style graph with hierarchical graph neural networks
W Bi, B Xu, X Sun, Z Wang, H Shen, X Cheng
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
262022
Predicting the silent majority on graphs: Knowledge transferable graph neural network
W Bi, B Xu, X Sun, L Xu, H Shen, X Cheng
Proceedings of the ACM Web Conference 2023, 274-285, 2023
142023
When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks
Y Fang, Y Qin, H Luo, F Zhao, B Xu, L Zeng, C Wang
2023 IEEE 39th International Conference on Data Engineering (ICDE), 517-529, 2023
132023
Anae: Learning node context representation for attributed network embedding
K Cen, H Shen, J Gao, Q Cao, B Xu, X Cheng
arXiv preprint arXiv:1906.08745, 2019
11*2019
Spatio-temporal meets wavelet: Disentangled traffic flow forecasting via efficient spectral graph attention network
Y Fang, Y Qin, H Luo, F Zhao, B Xu, C Wang, L Zeng
arXiv preprint arXiv:2112.02740, 2021
92021
Towards generalizable graph contrastive learning: An information theory perspective
Y Yuan, B Xu, H Shen, Q Cao, K Cen, W Zheng, X Cheng
Neural Networks 172, 106125, 2024
62024
Bridged-gnn: Knowledge bridge learning for effective knowledge transfer
W Bi, X Cheng, B Xu, X Sun, L Xu, H Shen
Proceedings of the 32nd ACM International Conference on Information and …, 2023
62023
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph
K Zhang, Q Cao, G Fang, B Xu, H Zou, H Shen, X Cheng
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
52023
Idea: Invariant causal defense for graph adversarial robustness
S Tao, Q Cao, H Shen, Y Wu, B Xu, X Cheng
arXiv preprint arXiv:2305.15792, 2023
42023
Coordinate mapping method of crowdsourced data for indoor fingerprint localization
Z Li, W Li, D Wei, H Yuan, B Xu, H Shen
2022 IEEE 12th International Conference on Indoor Positioning and Indoor …, 2022
32022
Significant-attributed Community Search in Heterogeneous Information Networks
Y Liu, F Guo, B Xu, P Bao, H Shen, X Cheng
arXiv preprint arXiv:2308.13244, 2023
22023
Location-aware convolutional neural networks for graph classification
Z Wang, Q Cao, H Shen, B Xu, K Cen, X Cheng
Neural Networks 155, 74-83, 2022
22022
Pde+: Enhancing generalization via pde with adaptive distributional diffusion
Y Yuan, B Xu, B Lin, L Hou, F Sun, H Shen, X Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16614 …, 2024
12024
Graph Domain Adaptation: Challenges, Progress and Prospects
B Shi, Y Wang, F Guo, B Xu, H Shen, X Cheng
arXiv preprint arXiv:2402.00904, 2024
12024
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