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
Conference paper
Publications
316 results for Charu Aggarwal
Efficient global string kernel with random features: Beyond counting substructures
- Lingfei Wu
- Liang Zhao
- et al.
- 2019
- KDD 2019
Conference paperTransfer Learning for Network Classification
- Bowen Dong
- Charu Aggarwal
- et al.
- 2019
- IJCNN 2019
Conference paperMulti-dimensional graph convolutional networks
- Yao Ma
- Suhang Wang
- et al.
- 2019
- SDM 2019
Conference paperMeta diagram based active social networks alignment
- Yuxiang Ren
- Charu Aggarwal
- et al.
- 2019
- ICDE 2019
Conference paperExploiting Knowledge Across Distinct Domains: Learning Event Details from Network Logs
- Muchen Wu
- Charu Aggarwal
- et al.
- 2018
- MILCOM 2018
Conference paperImproving classification quality in uncertain graphs
- Michele Dallachiesa
- Charu Aggarwal
- et al.
- 2019
- JDIQ
PaperEnsemble direct density ratio estimation for multistream classification
- Swarup Chandra
- Ahsanul Haque
- et al.
- 2018
- ICDE 2018
Conference paperSigned network modeling based on structural balance theory
- Tyler Derr
- Charu Aggarwal
- et al.
- 2018
- CIKM 2018
Conference paperRandom-forest-inspired neural networks
- Suhang Wang
- Charu Aggarwal
- et al.
- 2018
- ACM TIST
Paper