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Universal Representation for Code


Mar 04, 2021
Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu

* PAKDD 2021 

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IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation


Mar 04, 2021
Shalini Pandey, George Karypis, Jaideep Srivasatava


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Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning


Feb 27, 2021
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis

* 15 pages, 5 figures, 6 tables 

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Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks


Jan 19, 2021
Balasubramaniam Srinivasan, Da Zheng, George Karypis

* Published as a conference paper at SIAM International Conference on Data Mining(SDM 2021) 

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Learning Student Interest Trajectory for MOOCThread Recommendation


Jan 16, 2021
Shalini Pandey, Andrew Lan, George Karypis, Jaideep Srivastava

* Accepted at IEEE ICDM Workshop on Continual Learning and Adaptation for Time Evolving Data, 2020 

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An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset


Jan 16, 2021
Shalini Pandey, George Karypis, Jaideep Srivastava

* Accepted at AAAI workshop on AI in Education, Imagining Post-COVID Education with AI, 2021 

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Distant-Supervised Slot-Filling for E-Commerce Queries


Dec 15, 2020
Saurav Manchanda, Mohit Sharma, George Karypis


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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs


Oct 16, 2020
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis


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Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties


Sep 26, 2020
Zeren Shui, George Karypis

* To appear as a conference paper at ICDM 2020 

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Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning


Sep 15, 2020
Costas Mavromatis, George Karypis


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COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature


Jul 24, 2020
Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis


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PanRep: Universal node embeddings for heterogeneous graphs


Jul 20, 2020
Vassilis N. Ioannidis, Da Zheng, George Karypis


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Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing


Jul 20, 2020
Vassilis N. Ioannidis, Da Zheng, George Karypis


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Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning


May 21, 2020
Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng


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Context-aware Non-linear and Neural Attentive Knowledge-based Models for Grade Prediction


Mar 09, 2020
Sara Morsy, George Karypis

* arXiv admin note: substantial text overlap with arXiv:1904.11858 

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CAWA: An Attention-Network for Credit Attribution


Nov 26, 2019
Saurav Manchanda, George Karypis

* To appear in AAAI 2020 

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Intent term selection and refinement in e-commerce queries


Aug 22, 2019
Saurav Manchanda, Mohit Sharma, George Karypis

* Extended version of paper "Intent term weighing in e-commerce queries" to appear in CIKM'19 

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A Self-Attentive model for Knowledge Tracing


Jul 16, 2019
Shalini Pandey, George Karypis

* International Conference on Education Data Mining 

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Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation


Apr 22, 2019
Sara Morsy, George Karypis

* Under revision for Journal of Educational Data Mining (JEDM) 

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Sparse Neural Attentive Knowledge-based Models for Grade Prediction


Apr 22, 2019
Sara Morsy, George Karypis

* accepted for publication in EDM 2019 

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Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation


Apr 22, 2019
Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis

* 9 pages, Proceedings of the 2015 SIAM International Conference on Data Mining 

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Adaptive Matrix Completion for the Users and the Items in Tail


Apr 22, 2019
Mohit Sharma, George Karypis

* 7 pages, 3 figures, ACM WWW'19 

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Learning from Sets of Items in Recommender Systems


Apr 22, 2019
Mohit Sharma, F. Maxwell Harper, George Karypis

* 27 pages, 17 figures, ACM TiiS (2019), DOI provided 

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Text segmentation on multilabel documents: A distant-supervised approach


Apr 14, 2019
Saurav Manchanda, George Karypis

* 2018 IEEE International Conference on Data Mining (ICDM), 1170-1175 
* Accepted in 2018 IEEE International Conference on Data Mining (ICDM) 

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Distributed representation of multi-sense words: A loss-driven approach


Apr 14, 2019
Saurav Manchanda, George Karypis

* Advances in Knowledge Discovery and Data Mining. PAKDD 2018. Lecture Notes in Computer Science, vol 10938. Springer, Cham 
* PAKDD 2018 Best paper award runner-up 

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Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph


Feb 20, 2018
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang

* 9 pages, 6 figures 

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