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Efficient and effective training of language and graph neural network models

Vassilis N. Ioannidis , Xiang Song , Da Zheng , Houyu Zhang , Jun Ma , Yi Xu , Belinda Zeng , Trishul Chilimbi , George Karypis

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Nimble GNN Embedding with Tensor-Train Decomposition

Chunxing Yin , Da Zheng , Israt Nisa , Christos Faloutos , George Karypis , Richard Vuduc

* To appear in the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 22) 

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Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Zhiqi Bu , Yu-Xiang Wang , Sheng Zha , George Karypis

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ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning

Zhenwei Dai , Vasileios Ioannidis , Soji Adeshina , Zak Jost , Christos Faloutsos , George Karypis

* 13 pages 

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Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning

Vishakh Padmakumar , Leonard Lausen , Miguel Ballesteros , Sheng Zha , He He , George Karypis

* Accepted to appear at NAACL 2022 

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Coarse-to-Fine Sparse Sequential Recommendation

Jiacheng Li , Tong Zhao , Jin Li , Jim Chan , Christos Faloutsos , George Karypis , Soo-Min Pantel , Julian McAuley

* Accepted as conference paper at SIGIR 2022 

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TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Hongkuan Zhou , Da Zheng , Israt Nisa , Vasileios Ioannidis , Xiang Song , George Karypis

* VLDB'22 

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Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback

Trong Nghia Hoang , Anoop Deoras , Tong Zhao , Jin Li , George Karypis


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Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach

Ancy Sarah Tom , Nesreen K. Ahmed , George Karypis

* Accepted at the DLG-AAAI'21 workshop at AAAI 2021 

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TempoQR: Temporal Question Reasoning over Knowledge Graphs

Costas Mavromatis , Prasanna Lakkur Subramanyam , Vassilis N. Ioannidis , Soji Adeshina , Phillip R. Howard , Tetiana Grinberg , Nagib Hakim , George Karypis

* AAAI 2022 

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