Efficient global string kernel with random features: Beyond counting substructures
- Lingfei Wu
- Liang Zhao
- et al.
- 2019
- KDD 2019
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301 results for Charu Aggarwal
Scalable global alignment graph kernel using random features: From node embedding to graph embedding
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2019
- KDD 2019
Transfer Learning for Network Classification
- Bowen Dong
- Charu Aggarwal
- et al.
- 2019
- IJCNN 2019
Meta diagram based active social networks alignment
- Yuxiang Ren
- Charu Aggarwal
- et al.
- 2019
- ICDE 2019
Exploiting Knowledge Across Distinct Domains: Learning Event Details from Network Logs
- Muchen Wu
- Charu Aggarwal
- et al.
- 2018
- MILCOM 2018
Ensemble direct density ratio estimation for multistream classification
- Swarup Chandra
- Ahsanul Haque
- et al.
- 2018
- ICDE 2018
Signed network modeling based on structural balance theory
- Tyler Derr
- Charu Aggarwal
- et al.
- 2018
- CIKM 2018
Scalable spectral clustering using random binning features
- Lingfei Wu
- Fangli Xu
- et al.
- 2018
- KDD 2018
NetWalk: A flexible deep embedding approach for anomaly detection in dynamic networks
- Wenchao Yu
- Wei Cheng
- et al.
- 2018
- KDD 2018
Learning deep network representations with adversarially regularized autoencoders
- Wenchao Yu
- Cheng Zheng
- et al.
- 2018
- KDD 2018