Anomaly detection and spatio-temporal analysis of global climate system. - Mahashweta Das; Srinivasan Parthasarathy 001 (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Leveraging collaborative tagging for web item design. - Mahashweta Das; Gautam Das 001; Vagelis Hristidis (KDD, 2011)

Fast Rule Mining Over Multi-Dimensional Windows. - Mahashweta Das; Deepak Padmanabhan 001; Prasad Deshpande; Ramakrishnan Kannan (SDM, 2011)

MRI: Meaningful Interpretations of Collaborative Ratings. - Mahashweta Das; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2011)

Who Tags What? An Analysis Framework. - Mahashweta Das; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2012)

MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. - Saravanan Thirumuruganathan; Mahashweta Das; Shrikant Desai; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2012)

Generating informative snippet to maximize item visibility. - Mahashweta Das; Habibur Rahman 001; Gautam Das 001; Vagelis Hristidis (CIKM, 2013)

Learning to question: leveraging user preferences for shopping advice. - Mahashweta Das; Gianmarco De Francisci Morales; Aristides Gionis; Ingmar Weber (KDD, 2013)

Exploratory mining of collaborative social content. - Mahashweta Das (SIGMOD/PODS Ph.D. Symposium, 2013)

Top-K Product Design Based on Collaborative Tagging Data - Mahashweta Das; Gautam Das 001; Vagelis Hristidis (CoRR, 2013)

An expressive framework and efficient algorithms for the analysis of collaborative tagging. - Mahashweta Das; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (VLDB J., 2014)

The TagAdvisor: Luring the Lurkers to Review Web Items. - Azade Nazi; Mahashweta Das; Gautam Das 001 (SIGMOD Conference, 2015)

Structured Analytics in Social Media. - Mahashweta Das; Gautam Das 001 (Proc. VLDB Endow., 2015)

A hybrid solution for mixed workloads on dynamic graphs. - Mahashweta Das; Alkis Simitsis; Kevin Wilkinson (GRADES, 2016)

Web Item Reviewing Made Easy By Leveraging Available User Feedback. - Azade Nazi; Mahashweta Das; Gautam Das 001 (CoRR, 2016)

AD-WIRE: Add-on for Web Item Reviewing System. - Rajeshkumar Kannapalli; Azade Nazi; Mahashweta Das; Gautam Das 001 (Proc. VLDB Endow., 2016)

Structure Analytics in Social Media. - Sihem Amer-Yahia; Mahashweta Das; Gautam Das 001; Saravanan Thirumuruganathan; Cong Yu 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. - Manoj Reddy Dareddy; Mahashweta Das; Hao Yang 007 (IEEE BigData, 2019)

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. - Adit Krishnan; Mahashweta Das; Mangesh Bendre; Hao Yang 007; Hari Sundaram (SIGIR, 2020)

Constrained Non-Affine Alignment of Embeddings. - Yuwei Wang; Yan Zheng 001; Yanqing Peng; Chin-Chia Michael Yeh; Zhongfang Zhuang; Mahashweta Das; Mangesh Bendre; Feifei Li 001; Wei Zhang 189; Jeff M. Phillips (ICDM, 2021)

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. - Mangesh Bendre; Mahashweta Das; Fei Wang 062; Hao Yang 007 (WSDM, 2021)

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. - Mangesh Bendre; Mahashweta Das; Vineeth Rakesh; Fei Wang 062; Hao Yang 007 (IEEE Big Data, 2022)

Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. - Hao Zhu; Mahashweta Das; Mangesh Bendre; Fei Wang 062; Hao Yang 007; Soha Hassoun (ICMLA, 2022)

Multi-task Knowledge Graph Representations via Residual Functions. - Adit Krishnan; Mahashweta Das; Mangesh Bendre; Fei Wang 062; Hao Yang 007; Hari Sundaram (PAKDD (1), 2022)

Towards Generating Adversarial Examples on Mixed-type Data. - Han Xu; Menghai Pan; Zhimeng Jiang; Huiyuan Chen; Xiaoting Li 001; Mahashweta Das; Hao Yang 007 (CoRR, 2022)

Tackling Diverse Minorities in Imbalanced Classification. - Kwei-Herng Lai; Daochen Zha; Huiyuan Chen; Mangesh Bendre; Yuzhong Chen; Mahashweta Das; Hao Yang 007; Xia Hu 001 (CIKM, 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 (KDD, 2023)

Kernel Ridge Regression-Based Graph Dataset Distillation. - Zhe Xu 007; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (KDD, 2023)

From Trainable Negative Depth to Edge Heterophily in Graphs. - Yuchen Yan; Yuzhong Chen; Huiyuan Chen; Minghua Xu 003; Mahashweta Das; Hao Yang 007; Hanghang Tong (NeurIPS, 2023)

Adversarial Collaborative Filtering for Free. - Huiyuan Chen; Xiaoting Li 001; Vivian Lai; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Mahashweta Das; Hao Yang 007 (RecSys, 2023)

Sharpness-Aware Graph Collaborative Filtering. - Huiyuan Chen; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Mahashweta Das; Hao Yang 007 (SIGIR, 2023)

Knowledge Graph Question Answering with Ambiguous Query. - Lihui Liu; Yuzhong Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (WWW, 2023)

Invariant Graph Transformer. - Zhe Xu 007; Menghai Pan; Yuzhong Chen; Huiyuan Chen; Yuchen Yan; Mahashweta Das; Hanghang Tong (CoRR, 2023)

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. - Xiran Fan; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen; Mahashweta Das; Hao Yang 007 (ACL (Findings), 2024)

Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph. - Yuxin Tang; Mangesh Bendre; Mahashweta Das (IEEE Big Data, 2024)

Graph Anomaly Detection with Adaptive Node Mixup. - Qinghai Zhou; Yuzhong Chen; Zhe Xu 007; Yuhang Wu 002; Menghai Pan; Mahashweta Das; Hao Yang 007; Hanghang Tong (CIKM, 2024)

Matrix Profile XXXI: Motif Discovery Made Faster. - Maryam Shahcheraghi; Chin-Chia Michael Yeh; Yan Zheng 001; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Mahashweta Das; Eamonn J. Keogh (ICKG, 2024)

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. - Weijieying Ren; Xiaoting Li 001; Huiyuan Chen; Vineeth Rakesh; Zhuoyi Wang; Mahashweta Das; Vasant G. Honavar (ICML, 2024)

Machine Learning in Finance. - 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 (KDD, 2024)

Discrete-state Continuous-time Diffusion for Graph Generation. - Zhe Xu 007; Ruizhong Qiu; Yuzhong Chen; Huiyuan Chen; Xiran Fan; Menghai Pan; Zhichen Zeng 001; Mahashweta Das; Hanghang Tong (NeurIPS, 2024)

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. - Jiaqi Wang 002; Yuzhong Chen; Yuhang Wu 002; Mahashweta Das; Hao Yang 007; Fenglong Ma (PAKDD (3), 2024)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. - Huiyuan Chen; Vivian Lai; Hongye Jin; Zhimeng Jiang; Mahashweta Das; Xia Hu 001 (WSDM, 2024)

PaCEr: Network Embedding From Positional to Structural. - Yuchen Yan; Yongyi Hu; Qinghai Zhou; Lihui Liu; Zhichen Zeng 001; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hanghang Tong (WWW, 2024)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. - Chia-Yuan Chang 002; Zhimeng Jiang; Vineeth Rakesh; Menghai Pan; Chin-Chia Michael Yeh; Guanchu Wang; Mingzhi Hu; Zhichao Xu; Yan Zheng 001; Mahashweta Das; Na Zou 001 (ACL (1), 2025)

Visual Attention Exploration in Vision-Based Mamba Models. - Junpeng Wang 001; Chin-Chia Michael Yeh; Uday Singh Saini; Mahashweta Das (PacificVis, 2025)

Personalized Layer Selection for Graph Neural Networks. - Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Srijan Kumar; Mahashweta Das (Trans. Mach. Learn. Res., 2025)

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts. - Kartik Sharma; Yiqiao Jin; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. - Yiqiao Jin; Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)

Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement. - Junpeng Wang 001; Yuzhong Chen; Menghai Pan; Chin-Chia Michael Yeh; Mahashweta Das (CoRR, 2025)