Mahashweta Das

According to our database, Mahashweta Das authored at least 35 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation.

Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma

CoRR, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.

Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Invariant Graph Transformer.

Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong

CoRR, 2023

Knowledge Graph Question Answering with Ambiguous Query.

Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the ACM Web Conference 2023, 2023

Sharpness-Aware Graph Collaborative Filtering.

Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Adversarial Collaborative Filtering for Free.

Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

From Trainable Negative Depth to Edge Heterophily in Graphs.

Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Kernel Ridge Regression-Based Graph Dataset Distillation.

Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KDD Workshop on Machine Learning in Finance.

Leman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Tackling Diverse Minorities in Imbalanced Classification.

Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Towards Generating Adversarial Examples on Mixed-type Data.

Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang

CoRR, 2022

Multi-task Knowledge Graph Representations via Residual Functions.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Few-Shot Link Prediction with Domain-Agnostic Graph Embedding.

Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine.

Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions.

Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang

Proceedings of the WSDM '21, 2021

Constrained Non-Affine Alignment of Embeddings.

Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks.

Manoj Reddy Dareddy, Mahashweta Das, Hao Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Structure Analytics in Social Media.

Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

2016

AD-WIRE: Add-on for Web Item Reviewing System.

Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das

Proc. VLDB Endow., 2016

Web Item Reviewing Made Easy By Leveraging Available User Feedback.

Azade Nazi, Mahashweta Das, Gautam Das

CoRR, 2016

A hybrid solution for mixed workloads on dynamic graphs.

Mahashweta Das, Alkis Simitsis, Kevin Wilkinson

Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24, 2016

2015

Structured Analytics in Social Media.

Mahashweta Das, Gautam Das

Proc. VLDB Endow., 2015

The TagAdvisor: Luring the Lurkers to Review Web Items.

Azade Nazi, Mahashweta Das, Gautam Das

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

An expressive framework and efficient algorithms for the analysis of collaborative tagging.

Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu

VLDB J., 2014

2013

Top-K Product Design Based on Collaborative Tagging Data

Mahashweta Das, Gautam Das, Vagelis Hristidis

CoRR, 2013

Exploratory mining of collaborative social content.

Mahashweta Das

Proceedings of the 2013 SIGMOD/PODS Ph.D. Symposium, New York, NY, USA, June 23, 2013, 2013

Learning to question: leveraging user preferences for shopping advice.

Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, Ingmar Weber

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Generating informative snippet to maximize item visibility.

Mahashweta Das, Habibur Rahman, Gautam Das, Vagelis Hristidis

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings.

Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu

Proc. VLDB Endow., 2012

Who Tags What? An Analysis Framework.

Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu

Proc. VLDB Endow., 2012

2011

MRI: Meaningful Interpretations of Collaborative Ratings.

Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu

Proc. VLDB Endow., 2011

Fast Rule Mining Over Multi-Dimensional Windows.

Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Leveraging collaborative tagging for web item design.

Mahashweta Das, Gautam Das, Vagelis Hristidis

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009

Anomaly detection and spatio-temporal analysis of global climate system.

Mahashweta Das, Srinivasan Parthasarathy

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009