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Efficient and effective training of language and graph neural network models


Jun 22, 2022
Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis

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ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases


May 26, 2022
Bo He, Xiang Song, Vincent Gao, Christos Faloutsos

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


Mar 28, 2022
Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis

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* VLDB'22 

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Network In Graph Neural Network


Nov 23, 2021
Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang, David Paul Wipf

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Graph Neural Network Training with Data Tiering


Nov 10, 2021
Seung Won Min, Kun Wu, Mert Hidayetoğlu, Jinjun Xiong, Xiang Song, Wen-mei Hwu

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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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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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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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