Self-attentive attributed network embedding through adversarial learning
- Wenchao Yu
- Wei Cheng
- et al.
- 2019
- ICDM 2019
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308 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
Efficient global string kernel with random features: Beyond counting substructures
- Lingfei Wu
- Liang Zhao
- et al.
- 2019
- KDD 2019
Graph convolutional networks with eigenpooling
- Yao Ma
- Charu Aggarwal
- et al.
- 2019
- KDD 2019
Transfer Learning for Network Classification
- Bowen Dong
- Charu Aggarwal
- et al.
- 2019
- IJCNN 2019
Multi-dimensional graph convolutional networks
- Yao Ma
- Suhang Wang
- et al.
- 2019
- SDM 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
Improving classification quality in uncertain graphs
- Michele Dallachiesa
- Charu Aggarwal
- et al.
- 2019
- JDIQ
Ensemble direct density ratio estimation for multistream classification
- Swarup Chandra
- Ahsanul Haque
- et al.
- 2018
- ICDE 2018