Seguir
Bryan Hooi
Título
Citado por
Citado por
Año
Graph neural network-based anomaly detection in multivariate time series
A Deng, B Hooi
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4027-4035, 2021
10352021
Deep long-tailed learning: A survey
Y Zhang, B Kang, B Hooi, S Yan, J Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10795 …, 2023
6492023
Rev2: Fraudulent user prediction in rating platforms
S Kumar, B Hooi, D Makhija, M Kumar, C Faloutsos, VS Subrahmanian
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
4752018
Fraudar: Bounding graph fraud in the face of camouflage
B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
4222016
Beatgan: Anomalous rhythm detection using adversarially generated time series.
B Zhou, S Liu, B Hooi, X Cheng, J Ye
IJCAI 2019, 4433-4439, 2019
3222019
Can llms express their uncertainty? an empirical evaluation of confidence elicitation in llms
M Xiong, Z Hu, X Lu, Y Li, J Fu, J He, B Hooi
arXiv preprint arXiv:2306.13063, 2023
2592023
Mixup for node and graph classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
Proceedings of the Web Conference 2021, 3663-3674, 2021
2082021
Nodeaug: Semi-supervised node classification with data augmentation
Y Wang, W Wang, Y Liang, Y Cai, J Liu, B Hooi
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
1672020
Birdnest: Bayesian inference for ratings-fraud detection
B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ...
Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016
1632016
Understanding and resolving performance degradation in deep graph convolutional networks
K Zhou, Y Dong, K Wang, WS Lee, B Hooi, H Xu, J Feng
Proceedings of the 30th ACM International Conference on Information …, 2021
148*2021
Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition
Y Zhang, B Hooi, L Hong, J Feng
Advances in Neural Information Processing Systems 35, 34077-34090, 2022
1442022
Lunar: Unifying local outlier detection methods via graph neural networks
A Goodge, B Hooi, SK Ng, WS Ng
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6737-6745, 2022
1352022
STP-UDGAT: Spatial-temporal-preference user dimensional graph attention network for next POI recommendation
N Lim, B Hooi, SK Ng, X Wang, YL Goh, R Weng, J Varadarajan
Proceedings of the 29th ACM International conference on information …, 2020
1302020
Flowscope: Spotting money laundering based on graphs
X Li, S Liu, Z Li, X Han, C Shi, B Hooi, H Huang, X Cheng
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4731-4738, 2020
1252020
Midas: Microcluster-based detector of anomalies in edge streams
S Bhatia, B Hooi, M Yoon, K Shin, C Faloutsos
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3242-3249, 2020
1252020
A general suspiciousness metric for dense blocks in multimodal data
M Jiang, A Beutel, P Cui, B Hooi, S Yang, C Faloutsos
2015 IEEE International Conference on Data Mining, 781-786, 2015
1202015
M-zoom: Fast dense-block detection in tensors with quality guarantees
K Shin, B Hooi, C Faloutsos
Joint european conference on machine learning and knowledge discovery in …, 2016
1172016
G-retriever: Retrieval-augmented generation for textual graph understanding and question answering
X He, Y Tian, Y Sun, NV Chawla, T Laurent, Y LeCun, X Bresson, B Hooi
arXiv preprint arXiv:2402.07630, 2024
1022024
Exploring collaboration mechanisms for llm agents: A social psychology view
J Zhang, X Xu, N Zhang, R Liu, B Hooi, S Deng
arXiv preprint arXiv:2310.02124, 2023
1022023
Fast and accurate anomaly detection in dynamic graphs with a two-pronged approach
M Yoon, B Hooi, K Shin, C Faloutsos
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1002019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20