Jiaxuan You

According to our database, Jiaxuan You authored at least 32 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Reinforcement Learning for Modelling Protein Complexes.

Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li

CoRR, 2024

DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference.

Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin

CoRR, 2024

Nemotron-4 15B Technical Report.

Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan M. Cohen, Bryan Catanzaro

CoRR, 2024

Representation Learning for Frequent Subgraph Mining.

Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec

CoRR, 2024

2023

SP-GNN: Learning structure and position information from graphs.

Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu

Neural Networks, April, 2023

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.

Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen

J. Biomed. Informatics, 2023

Relational Deep Learning: Graph Representation Learning on Relational Databases.

Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec

CoRR, 2023

AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks.

Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Efficient Automatic Machine Learning via Design Graphs.

Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying

CoRR, 2022

AdaGrid: Adaptive Grid Search for Link Prediction Training Objective.

Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec

CoRR, 2022

ROLAND: Graph Learning Framework for Dynamic Graphs.

Jiaxuan You, Tianyu Du, Jure Leskovec

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Relational Multi-Task Learning: Modeling Relations between Data and Tasks.

Kaidi Cao, Jiaxuan You, Jure Leskovec

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Empowering deep learning with graphs.

Jiaxuan You

PhD thesis, 2021

Inductive Learning on Commonsense Knowledge Graph Completion.

Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo

Proceedings of the International Joint Conference on Neural Networks, 2021

Identity-aware Graph Neural Networks.

Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Subgraph Matching.

Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec

CoRR, 2020

Design Space for Graph Neural Networks.

Jiaxuan You, Zhitao Ying, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Handling Missing Data with Graph Representation Learning.

Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Redundancy-Free Computation for Graph Neural Networks.

Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graph Structure of Neural Networks.

Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Redundancy-Free Computation Graphs for Graph Neural Networks.

Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken

CoRR, 2019

GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks.

Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec

CoRR, 2019

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.

Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec

Proceedings of the World Wide Web Conference, 2019

G2SAT: Learning to Generate SAT Formulas.

Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GNNExplainer: Generating Explanations for Graph Neural Networks.

Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Position-aware Graph Neural Networks.

Jiaxuan You, Rex Ying, Jure Leskovec

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

GraphRNN: A Deep Generative Model for Graphs.

Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec

CoRR, 2018

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation.

Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay S. Pande, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Graph Representation Learning with Differentiable Pooling.

Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.

Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data.

Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An effective simulation model for multi-line metro systems based on origin-destination data.

Jiaxuan You, Wei Guo, Yi Zhang, Jianming Hu

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016