Rex Ying

According to our database, Rex Ying authored at least 67 papers between 2016 and 2024.

Collaborative distances:

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

2024

Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition.

Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas

CoRR, 2024

An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control.

Aosong Feng, Weikang Qiu, Jinbin Bai, Kaicheng Zhou, Zhen Dong, Xiao Zhang, Rex Ying, Leandros Tassiulas

CoRR, 2024

Representation Learning for Frequent Subgraph Mining.

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

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao

CoRR, 2024

DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting.

Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Generative Explanation for Graph Neural Network: Methods and Evaluation.

Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying

IEEE Data Eng. Bull., 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

Learning High-Order Relationships of Brain Regions.

Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying

CoRR, 2023

Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation.

Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang

CoRR, 2023

Generative Explanations for Graph Neural Network: Methods and Evaluations.

Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying

CoRR, 2023

D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion.

Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying

CoRR, 2023

BLIS-Net: Classifying and Analyzing Signals on Graphs.

Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter

CoRR, 2023

Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models.

Junchi Yu, Ran He, Rex Ying

CoRR, 2023

GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations.

Kenza Amara, Mennatallah El-Assady, Rex Ying

CoRR, 2023

MUDiff: Unified Diffusion for Complete Molecule Generation.

Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup

CoRR, 2023

Static and Sequential Malicious Attacks in the Context of Selective Forgetting.

Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Group Auxiliary Datasets for Molecule.

Tinglin Huang, Ziniu Hu, Rex Ying

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery.

Jialin Chen, Rex Ying

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion.

Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data.

Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Community-Aware Transformer for Autism Prediction in fMRI Connectome.

Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Rex Ying, Xiaoxiao Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree.

Delvin Ce Zhang, Rex Ying, Hady W. Lauw

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.

Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning.

Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu

Proceedings of the International Conference on Machine Learning, 2023

Hyperbolic Representation Learning: Revisiting and Advancing.

Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King

Proceedings of the International Conference on Machine Learning, 2023

Adversarially Robust Neural Architecture Search for Graph Neural Networks.

Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HiPool: Modeling Long Documents Using Graph Neural Networks.

Irene Li, Aosong Feng, Dragomir Radev, Rex Ying

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.

Aosong Feng, Irene Li, Yuang Jiang, Rex Ying

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020.

Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon

Frontiers Artif. Intell., 2022

Efficient Automatic Machine Learning via Design Graphs.

Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying

CoRR, 2022

Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree.

Songtao Liu, Rex Ying, Zuobai Zhang, Peilin Zhao, Jian Tang, Lu Lin, Dinghao Wu

CoRR, 2022

How Powerful is Implicit Denoising in Graph Neural Networks.

Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu

CoRR, 2022

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.

Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang

CoRR, 2022

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020.

Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon

CoRR, 2022

Learning Graph Search Heuristics.

Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò

Proceedings of the Learning on Graphs Conference, 2022

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.

Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang

Proceedings of the Learning on Graphs Conference, 2022

Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator.

Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec

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

Local Augmentation for Graph Neural Networks.

Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu

Proceedings of the International Conference on Machine Learning, 2022

2021

Towards expressive and scalable deep representation learning for graphs.

Rex Ying

PhD thesis, 2021

Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks.

Jiaqing Xie, Rex Ying

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Neural Distance Embeddings for Biological Sequences.

Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones.

Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification.

Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Bipartite Dynamic Representations for Abuse Detection.

Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-hop Attention Graph Neural Networks.

Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

Direct Multi-hop Attention based Graph Neural Network.

Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

CoRR, 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

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

Learning to Simulate Complex Physics with Graph Networks.

Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia

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

Neural Execution of Graph Algorithms.

Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Improving Graph Attention Networks with Large Margin-based Constraints.

Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

CoRR, 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

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

Hyperbolic Graph Convolutional Neural Networks.

Ines Chami, Zhitao Ying, Christopher Ré, 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

Graph Convolutional Neural Networks for Web-Scale Recommender Systems.

Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

Representation Learning on Graphs: Methods and Applications.

William L. Hamilton, Rex Ying, Jure Leskovec

IEEE Data Eng. Bull., 2017

Inductive Representation Learning on Large Graphs.

William L. Hamilton, Zhitao Ying, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A simple efficient approximation algorithm for dynamic time warping.

Rex Ying, Jiangwei Pan, Kyle Fox, Pankaj K. Agarwal

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Approximating Dynamic Time Warping and Edit Distance for a Pair of Point Sequences.

Pankaj K. Agarwal, Kyle Fox, Jiangwei Pan, Rex Ying

Proceedings of the 32nd International Symposium on Computational Geometry, 2016