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Human-Centric Research for NLP: Towards a Definition and Guiding Questions


Jul 10, 2022
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu

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A Human-Centric Assessment Framework for AI


May 25, 2022
Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben-Rim, Jürgen Quittek, Carolin Lawrence

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Self-Supervised Representation Learning via Latent Graph Prediction


Feb 16, 2022
Yaochen Xie, Zhao Xu, Shuiwang Ji

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Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network


Jan 12, 2022
Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao

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* 37 pages, 6 figures 

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Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs


Sep 30, 2021
Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji

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Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks


Jun 16, 2021
Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

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* One of the winners of 2021 KDD Cup on OGB Large-Scale Challenge 

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Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence


Apr 18, 2021
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang

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* 30 pages, 2 figures 

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DIG: A Turnkey Library for Diving into Graph Deep Learning Research


Mar 23, 2021
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji

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Self-Supervised Learning of Graph Neural Networks: A Unified Review


Feb 23, 2021
Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji

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* 17 pages, 6 figures 

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MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery


Dec 02, 2020
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji

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* Supplementary Material: https://documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:d0ca85d1-c6f9-428b-ae2b-c3bf3257196d 

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