Yijun Tian, Chuxu Zhang, Ronald Metoyer, Nitesh Chawla. “Recipe Representation Learning with Networks.” 30th ACM International Conference on Information and Knowledge Management (CIKM)PDF
Discriminative Entity-Aware Language Model for Virtual Assistants.” Interspeech 2021Best student paper nomineePDF
Zhaojun Wang, Mandana Saebi, James J Corbett, Erin K Grey, Salvatore R Curasi. “Integrated Biological Risk and Cost Model Analysis Supports a Geopolitical Shift in Ballast Water Management.” Environmental Science & TechnologyPDF
Zhaojun Wang, Amanda M. Countryman, James J. Corbett, Mandana Saebi, Nitesh V. Chawla. “Economic and environmental impacts of ballast water management on Small Island Developing States and Least Developed Countries.” Journal of Environmental ManagementarXiv
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang . “Modeling Co-evolution of Attributed and Structural Information in Graph Sequence.” PDF
Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang . “Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.” PDF
2020
Zhichun Guo, Wenhau Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla. “GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.” Proceedings of the 29th ACM International Conference on Information and Knowledge Management 2020 (CIKM’ 2020)PDF
Steven J. Krieg, Daniel H. Robertson, Meeta P. Pradhan, Nitesh V. Chawla. “Higher-order Networks of Diabetes Comorbidities: Disease Trajectories that Matter.” 2020 IEEE International Conference on Healthcare Informatics (ICHI)PDF
Steven J. Krieg, Peter M. Kogge, Nitesh V. Chawla. “GrowHON: A Scalable Algorithm for Growing Higher-order Networks of Sequences.” 2020 International Conference on Complex Networks and Their ApplicationsPDF
Jennifer J. Schnur, Ryan Karl, Angélica García-Martinez, Meng Jiang, Nitesh V. Chawla. “Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach.” 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)PDF
Mandana Saebi, Jian Xu, Salvatore R. Curasi, Erin K. Grey, Nitesh V. Chawla, David M. Lodge. “Network analysis of ballast-mediated species transfer reveals important introduction and dispersal patterns in the Arctic.” Scientific ReportsPDF
Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla. “HONEM: Learning Embedding for Higher Order Networks.” Big DataarXiv
Saebi, Mandana, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, and Nitesh V. Chawla. “Efficient Modeling of Higher-order Dependencies in Networks: From Algorithm to Application for Anomaly Detection.” EPJ Data Science9, no. 1 (2020): 1-22. PDF
Saebi, Mandana, Jian Xu, Erin K. Grey, David M. Lodge, James J. Corbett, and Nitesh Chawla.”Higher-order Patterns of Aquatic Species Spread through the Global Shipping Network.” PLOS ONE15, no. 7 (2020): e0220353. PDF
Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla.”Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors”. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020. PDF
Wang, Daheng, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, and Meng Jiang. 2020. “Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.” ArXiv. Republished from The Second International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD’20), Best Paper Award of DLG-KDD’20. PDF
Steven J. Krieg, Jennifer J. Schnur, Jermaine D. Marshall, Matthew M. Schoenbauer, and Nitesh V. Chawla. Pandemic Pulse: Unraveling and Modeling Social Signals During the COVID-19 Pandemic. Digital Government 2, no. 2. 2020: 9 pages. PDF
Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla. “Detecting Anomalies in Sequential Data with Higher-order Networks.” PDF