Mahashweta Das

66 papers A* 13A 8B 3C 1Journal 28Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. KDD (1) Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025	—	`conf`	8th Workshop on Machine Learning in Finance. KDD (2) Saurabh Nagrecha, Isha Chaturvedi, Senthil Kumar, Nitesh V. Chawla, Mahashweta Das, Daksha Yadav, José A. Rodríguez-Serrano, Eren Kurshan
2025	A	`conf`	Fine-Grained Graph Rationalization. CIKM Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
2025	J	`jnl`	Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement. CoRR Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Mahashweta Das
2025	—	`conf`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. ACL (1) Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025	J	`jnl`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. CoRR Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025	J	`jnl`	Personalized Layer Selection for Graph Neural Networks. CoRR Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das
2025	J	`jnl`	Personalized Layer Selection for Graph Neural Networks. Trans. Mach. Learn. Res. Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das
2025	J	`jnl`	SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. CoRR Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025	J	`jnl`	Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts. CoRR Kartik Sharma, Yiqiao Jin, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025	J	`jnl`	TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. CoRR Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025	J	`jnl`	TransactionGPT. CoRR Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen
2025	B	`conf`	Visual Attention Exploration in Vision-Based Mamba Models. PacificVis Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das
2025	J	`jnl`	Visual Attention Exploration in Vision-Based Mamba Models. CoRR Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das
2024	A*	`conf`	Discrete-state Continuous-time Diffusion for Graph Generation. NeurIPS Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024	J	`jnl`	Discrete-state Continuous-time Diffusion for Graph Generation. CoRR Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024	—	`conf`	Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang
2024	A	`conf`	Graph Anomaly Detection with Adaptive Node Mixup. CIKM Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong
2024	A*	`conf`	Machine Learning in Finance. KDD 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
2024	—	`conf`	Matrix Profile XXXI: Motif Discovery Made Faster. ICKG Maryam Shahcheraghi, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Mahashweta Das, Eamonn J. Keogh
2024	B	`conf`	Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph. IEEE Big Data Yuxin Tang, Mangesh Bendre, Mahashweta Das
2024	A*	`conf`	PaCEr: Network Embedding From Positional to Structural. WWW Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
2024	—	`conf`	Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	J	`jnl`	Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	A*	`conf`	TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. ICML Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar
2024	A	`conf`	Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2023	A	`conf`	Adversarial Collaborative Filtering for Free. RecSys Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
2023	J	`jnl`	Adversarial Collaborative Filtering for Free. CoRR Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
2023	A*	`conf`	From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
2023	J	`jnl`	Invariant Graph Transformer. CoRR Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
2023	A*	`conf`	KDD Workshop on Machine Learning in Finance. KDD Leman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie
2023	A*	`conf`	Kernel Ridge Regression-Based Graph Dataset Distillation. KDD Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A*	`conf`	Knowledge Graph Question Answering with Ambiguous Query. WWW Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A*	`conf`	Sharpness-Aware Graph Collaborative Filtering. SIGIR Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
2023	J	`jnl`	Sharpness-Aware Graph Collaborative Filtering. CoRR Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
2023	A	`conf`	Tackling Diverse Minorities in Imbalanced Classification. CIKM Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023	J	`jnl`	Tackling Diverse Minorities in Imbalanced Classification. CoRR Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023	J	`jnl`	Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2022	C	`conf`	Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun
2022	—	`conf`	Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram
2022	J	`jnl`	Towards Generating Adversarial Examples on Mixed-type Data. CoRR Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
2022	B	`conf`	bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. IEEE Big Data Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang
2021	A*	`conf`	Constrained Non-Affine Alignment of Embeddings. ICDM Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
2021	A	`conf`	GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang
2020	A*	`conf`	Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
2020	J	`jnl`	Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
2019	—	`conf`	motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. IEEE BigData Manoj Reddy Dareddy, Mahashweta Das, Hao Yang
2019	J	`jnl`	motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. CoRR Manoj Reddy Dareddy, Mahashweta Das, Hao Yang
2018	—	`ch.`	Structure Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu
2016	—	`conf`	A hybrid solution for mixed workloads on dynamic graphs. GRADES Mahashweta Das, Alkis Simitsis, Kevin Wilkinson
2016	J	`jnl`	AD-WIRE: Add-on for Web Item Reviewing System. Proc. VLDB Endow. Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das
2016	J	`jnl`	Web Item Reviewing Made Easy By Leveraging Available User Feedback. CoRR Azade Nazi, Mahashweta Das, Gautam Das
2015	J	`jnl`	Structured Analytics in Social Media. Proc. VLDB Endow. Mahashweta Das, Gautam Das
2015	—	`conf`	The TagAdvisor: Luring the Lurkers to Review Web Items. SIGMOD Conference Azade Nazi, Mahashweta Das, Gautam Das
2014	J	`jnl`	An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu
2013	—	`conf`	Exploratory mining of collaborative social content. SIGMOD/PODS Ph.D. Symposium Mahashweta Das
2013	A	`conf`	Generating informative snippet to maximize item visibility. CIKM Mahashweta Das, Habibur Rahman, Gautam Das, Vagelis Hristidis
2013	A*	`conf`	Learning to question: leveraging user preferences for shopping advice. KDD Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, Ingmar Weber
2013	J	`jnl`	Top-K Product Design Based on Collaborative Tagging Data CoRR Mahashweta Das, Gautam Das, Vagelis Hristidis
2012	J	`jnl`	MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. Proc. VLDB Endow. Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu
2012	J	`jnl`	Who Tags What? An Analysis Framework CoRR Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu
2012	J	`jnl`	Who Tags What? An Analysis Framework. Proc. VLDB Endow. Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu
2011	A	`conf`	Fast Rule Mining Over Multi-Dimensional Windows. SDM Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan
2011	A*	`conf`	Leveraging collaborative tagging for web item design. KDD Mahashweta Das, Gautam Das, Vagelis Hristidis
2011	J	`jnl`	MRI: Meaningful Interpretations of Collaborative Ratings. Proc. VLDB Endow. Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu
2009	—	`conf`	Anomaly detection and spatio-temporal analysis of global climate system. KDD Workshop on Knowledge Discovery from Sensor Data Mahashweta Das, Srinivasan Parthasarathy