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Mahashweta Das
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- affiliation: Hewlett Packard Enterprise Labs, Palo Alto, CA, USA
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2020 – today
- 2025
- [i16]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:
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. CoRR abs/2501.00332 (2025) - [i15]Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das:
Personalized Layer Selection for Graph Neural Networks. CoRR abs/2501.14964 (2025) - [i14]Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das:
Visual Attention Exploration in Vision-Based Mamba Models. CoRR abs/2502.20764 (2025) - 2024
- [c32]Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang:
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) 2024: 4575-4589 - [c31]Yuxin Tang, Mangesh Bendre, Mahashweta Das:
Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph. IEEE Big Data 2024: 799-804 - [c30]Qinghai Zhou
, Yuzhong Chen
Graph Anomaly Detection with Adaptive Node Mixup. CIKM 2024: 3494-3504 - [c29]Maryam Shahcheraghi, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Mahashweta Das, Eamonn J. Keogh:
Matrix Profile XXXI: Motif Discovery Made Faster. ICKG 2024: 334-341 - [c28]Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar:
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. ICML 2024 - [c27]Leman Akoglu
Machine Learning in Finance. KDD 2024: 6703 - [c26]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. NeurIPS 2024 - [c25]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: 155-167 - [c24]Huiyuan Chen
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM 2024: 106-115 - [c23]Yuchen Yan
PaCEr: Network Embedding From Positional to Structural. WWW 2024: 2485-2496 - [i13]Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR abs/2401.15874 (2024) - [i12]Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR abs/2405.11416 (2024) - 2023
- [c22]Kwei-Herng Lai
Tackling Diverse Minorities in Imbalanced Classification. CIKM 2023: 1178-1187 - [c21]Zhe Xu
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD 2023: 2850-2861 - [c20]Leman Akoglu
KDD Workshop on Machine Learning in Finance. KDD 2023: 5863-5864 - [c19]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 - [c18]Huiyuan Chen
Adversarial Collaborative Filtering for Free. RecSys 2023: 245-255 - [c17]Huiyuan Chen
Sharpness-Aware Graph Collaborative Filtering. SIGIR 2023: 2369-2373 - [c16]Lihui Liu
Knowledge Graph Question Answering with Ambiguous Query. WWW 2023: 2477-2486 - [i11]Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang:
Sharpness-Aware Graph Collaborative Filtering. CoRR abs/2307.08910 (2023) - [i10]Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang:
Adversarial Collaborative Filtering for Free. CoRR abs/2308.13541 (2023) - [i9]Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. CoRR abs/2308.14838 (2023) - [i8]Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong:
Invariant Graph Transformer. CoRR abs/2312.07859 (2023) - [i7]Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR abs/2312.17468 (2023) - 2022
- [c15]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. IEEE Big Data 2022: 835-843 - [c14]Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun:
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA 2022: 659-664 - [c13]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram:
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) 2022: 262-275 - [i6]Han Xu, Menghai Pan, Zhimeng Jiang
Towards Generating Adversarial Examples on Mixed-type Data. CoRR abs/2210.09405 (2022) - 2021
- [c12]Yuwei Wang, Yan Zheng, Yanqing Peng
Constrained Non-Affine Alignment of Embeddings. ICDM 2021: 1403-1408 - [c11]Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang:
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM 2021: 914-917 - 2020
- [c10]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR 2020: 1081-1090 - [i5]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR abs/2005.10473 (2020)
2010 – 2019
- 2019
- [c9]Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. IEEE BigData 2019: 1052-1059 - [i4]Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. CoRR abs/1908.08227 (2019) - 2018
- [r1]Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu:
Structure Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - 2016
- [j6]Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das:
AD-WIRE: Add-on for Web Item Reviewing System. Proc. VLDB Endow. 9(13): 1593-1596 (2016) - [c8]Mahashweta Das, Alkis Simitsis, Kevin Wilkinson:
A hybrid solution for mixed workloads on dynamic graphs. GRADES 2016: 1 - [i3]Azade Nazi, Mahashweta Das, Gautam Das:
Web Item Reviewing Made Easy By Leveraging Available User Feedback. CoRR abs/1602.06454 (2016) - 2015
- [j5]Mahashweta Das, Gautam Das
Structured Analytics in Social Media. Proc. VLDB Endow. 8(12): 2046-2047 (2015) - [c7]Azade Nazi, Mahashweta Das, Gautam Das
The TagAdvisor: Luring the Lurkers to Review Web Items. SIGMOD Conference 2015: 531-543 - 2014
- [j4]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das
An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. 23(2): 201-226 (2014) - 2013
- [c6]Mahashweta Das, Habibur Rahman, Gautam Das
Generating informative snippet to maximize item visibility. CIKM 2013: 1721-1726 - [c5]Mahashweta Das, Gianmarco De Francisci Morales
Learning to question: leveraging user preferences for shopping advice. KDD 2013: 203-211 - [c4]Mahashweta Das:
Exploratory mining of collaborative social content. SIGMOD/PODS Ph.D. Symposium 2013: 37-42 - [i2]Mahashweta Das, Gautam Das, Vagelis Hristidis:
Top-K Product Design Based on Collaborative Tagging Data. CoRR abs/1304.0419 (2013) - 2012
- [j3]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das
Who Tags What? An Analysis Framework. Proc. VLDB Endow. 5(11): 1567-1578 (2012) - [j2]Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das
MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. Proc. VLDB Endow. 5(12): 1986-1989 (2012) - [i1]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. CoRR abs/1208.0285 (2012) - 2011
- [j1]Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MRI: Meaningful Interpretations of Collaborative Ratings. Proc. VLDB Endow. 4(11): 1063-1074 (2011) - [c3]Mahashweta Das, Gautam Das
Leveraging collaborative tagging for web item design. KDD 2011: 538-546 - [c2]Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan:
Fast Rule Mining Over Multi-Dimensional Windows. SDM 2011: 582-593
2000 – 2009
- 2009
- [c1]Mahashweta Das, Srinivasan Parthasarathy
Anomaly detection and spatio-temporal analysis of global climate system. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 142-150
Coauthor Index
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