Mahashweta Das

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 32

Top Topics

Collaborative Filtering

Machine Learning

Graph Representations

Top Venues

Proc. VLDB Endow.

Publications

Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
PaCEr: Network Embedding From Positional to Structural. WWW (2024)
Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) (2024)
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM (2024)
Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR (2024)
Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) (2024)
Leman Akoglu, Nitesh V. Chawla, Josep Domingo-Ferrer, Eren Kurshan, Senthil Kumar, Vidyut M. Naware, José A. Rodríguez-Serrano, Isha Chaturvedi, Saurabh Nagrecha, Mahashweta Das, Tanveer A. Faruquie
Machine Learning in Finance. KDD (2024)
Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR (2024)
Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS (2023)
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
Adversarial Collaborative Filtering for Free. CoRR (2023)
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR (2023)
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
Sharpness-Aware Graph Collaborative Filtering. CoRR (2023)
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
Tackling Diverse Minorities in Imbalanced Classification. CIKM (2023)
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
Sharpness-Aware Graph Collaborative Filtering. SIGIR (2023)
Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD (2023)
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
Adversarial Collaborative Filtering for Free. RecSys (2023)
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
Tackling Diverse Minorities in Imbalanced Classification. CoRR (2023)
Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
Invariant Graph Transformer. CoRR (2023)
Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Knowledge Graph Question Answering with Ambiguous Query. WWW (2023)
Leman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie
KDD Workshop on Machine Learning in Finance. KDD (2023)
Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA (2022)
Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
Towards Generating Adversarial Examples on Mixed-type Data. CoRR (2022)
Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. Big Data (2022)
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) (2022)
Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM (2021)
Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
Constrained Non-Affine Alignment of Embeddings. ICDM (2021)
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR (2020)
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR (2020)
Manoj Reddy Dareddy, Mahashweta Das, Hao Yang
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. CoRR (2019)
Manoj Reddy Dareddy, Mahashweta Das, Hao Yang
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. IEEE BigData (2019)
Azade Nazi, Mahashweta Das, Gautam Das
Web Item Reviewing Made Easy By Leveraging Available User Feedback. CoRR (2016)
Mahashweta Das, Alkis Simitsis, Kevin Wilkinson
A hybrid solution for mixed workloads on dynamic graphs. GRADES (2016)
Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das
AD-WIRE: Add-on for Web Item Reviewing System. Proc. VLDB Endow. 9 (13) (2016)
Azade Nazi, Mahashweta Das, Gautam Das
The TagAdvisor: Luring the Lurkers to Review Web Items. SIGMOD Conference (2015)
Mahashweta Das, Gautam Das
Structured Analytics in Social Media. Proc. VLDB Endow. 8 (12) (2015)
Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu
An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. 23 (2) (2014)
Mahashweta Das, Habibur Rahman, Gautam Das, Vagelis Hristidis
Generating informative snippet to maximize item visibility. CIKM (2013)
Mahashweta Das, Gautam Das, Vagelis Hristidis
Top-K Product Design Based on Collaborative Tagging Data CoRR (2013)
Mahashweta Das
Exploratory mining of collaborative social content. SIGMOD/PODS Ph.D. Symposium (2013)
Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, Ingmar Weber
Learning to question: leveraging user preferences for shopping advice. KDD (2013)
Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu
Who Tags What? An Analysis Framework CoRR (2012)
Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu
Who Tags What? An Analysis Framework. Proc. VLDB Endow. 5 (11) (2012)
Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu
MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. Proc. VLDB Endow. 5 (12) (2012)
Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu
MRI: Meaningful Interpretations of Collaborative Ratings. Proc. VLDB Endow. 4 (11) (2011)
Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan
Fast Rule Mining Over Multi-Dimensional Windows. SDM (2011)
Mahashweta Das, Gautam Das, Vagelis Hristidis
Leveraging collaborative tagging for web item design. KDD (2011)
Mahashweta Das, Srinivasan Parthasarathy
Anomaly detection and spatio-temporal analysis of global climate system. KDD Workshop on Knowledge Discovery from Sensor Data (2009)