Charu Aggarwal

29 papers A* 2A 2Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
AI4DE: The 1st International Workshop on AI for Data Editing.
KDD (2)
Yanjie Fu, Kunpeng Liu, Dongjie Wang, Xiangliang Zhang, Khalid K. Osman, Charu Aggarwal, Suzanne M. Shontz, Huan Liu, Jian Pei
2025 J jnl
Counterfactual Learning on Graphs: A Survey.
Mach. Intell. Res.
Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2025 J jnl
Deep Graph Anomaly Detection: A Survey and New Perspectives.
IEEE Trans. Knowl. Data Eng.
Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang
2025 J jnl
Deep Learning for Time Series Anomaly Detection: A Survey.
ACM Comput. Surv.
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu Aggarwal, Mahsa Salehi
2025 J jnl
State of the Art and Potentialities of Graph-level Learning.
ACM Comput. Surv.
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2024 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv.
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
2024 A conf
Feature-Engineered Random Forests.
SDM
Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga
2024 J jnl
Precedence-Constrained Winter Value for Effective Graph Data Valuation.
CoRR
Hongliang Chi, Wei Jin, Charu Aggarwal, Yao Ma
2023 J jnl
A Survey on Explainability of Graph Neural Networks.
IEEE Data Eng. Bull.
Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya
2023 J jnl
Automated Feature Selection: A Reinforcement Learning Perspective.
IEEE Trans. Knowl. Data Eng.
Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong
2023 J jnl
Counterfactual Learning on Graphs: A Survey.
CoRR
Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2023 J jnl
Customized Graph Nerual Networks.
IEEE Data Eng. Bull.
Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang
2023 J jnl
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection.
IEEE Intell. Syst.
Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu
2023 J jnl
Graph Lifelong Learning: A Survey.
IEEE Comput. Intell. Mag.
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal
2022 J jnl
Editorial Deep Learning for Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Guansong Pang, Charu Aggarwal, Chunhua Shen, Nicu Sebe
2022 J jnl
Graph Lifelong Learning: A Survey.
CoRR
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal
2022 J jnl
Graph-level Neural Networks: Current Progress and Future Directions.
CoRR
Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
2022 — conf
GraphLearning'22: 1st International Workshop on Graph Learning.
WWW (Companion Volume)
Feng Xia, Renaud Lambiotte, Charu Aggarwal
2022 A* conf
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
SIGIR
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022 J jnl
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
CoRR
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2021 A conf
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities.
WSDM
Guansong Pang, Longbing Cao, Charu Aggarwal
2021 J jnl
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification.
CoRR
Yu Wang, Charu Aggarwal, Tyler Derr
2021 J jnl
Improving spectral clustering with deep embedding, cluster estimation and metric learning.
Knowl. Inf. Syst.
Liang Duan, Shuai Ma, Charu Aggarwal, Saket Sathe
2021 J jnl
Meta-Learning with Graph Neural Networks: Methods and Applications.
CoRR
Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
2021 J jnl
MetaLearning with Graph Neural Networks: Methods and Applications.
SIGKDD Explor.
Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
2021 A* conf
NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs.
KDD
Enyan Dai, Charu Aggarwal, Suhang Wang
2021 J jnl
Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies.
IEEE Trans. Knowl. Data Eng.
Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu
2020 J jnl
Adversarial Attacks and Defenses on Graphs.
SIGKDD Explor.
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
2020 J jnl
An Interview with Dr. Charu Aggarwal, SIGKDD Innovation Award Winner.
SIGKDD Explor.
Charu Aggarwal