Rex Ying

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 91

Top Topics

Graph Representation

Top Venues

Publications

Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS (2024)
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR (2024)
Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR (2024)
Aosong Feng, Weikang Qiu, Jinbin Bai, Kaicheng Zhou, Zhen Dong, Xiao Zhang, Rex Ying, Leandros Tassiulas
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control. CoRR (2024)
Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec
Representation Learning for Frequent Subgraph Mining. CoRR (2024)
Jiajun Zhu, Siqi Miao, Rex Ying, Pan Li
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning. CoRR (2024)
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, Chao Zhang, 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
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. WSDM (2024)
Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. KDD (2024)
Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. CoRR (2024)
Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw
Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges. WWW (Companion Volume) (2024)
Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying
Explaining Graph Neural Networks via Structure-aware Interaction Index. CoRR (2024)
Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition. CoRR (2024)
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR (2024)
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
Generative Explanations for Graph Neural Network: Methods and Evaluations. CoRR (2023)
Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
Adversarially Robust Neural Architecture Search for Graph Neural Networks. CVPR (2023)
Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai
Static and Sequential Malicious Attacks in the Context of Selective Forgetting. NeurIPS (2023)
Tinglin Huang, Ziniu Hu, Rex Ying
Learning to Group Auxiliary Datasets for Molecule. CoRR (2023)
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR (2023)
Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion. NeurIPS (2023)
Kenza Amara, Mennatallah El-Assady, Rex Ying
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations. CoRR (2023)
Irene Li, Aosong Feng, Dragomir Radev, Rex Ying
HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) (2023)
Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data. CoRR (2023)
Tinglin Huang, Ziniu Hu, Rex Ying
Learning to Group Auxiliary Datasets for Molecule. NeurIPS (2023)
Irene Li, Aosong Feng, Dragomir Radev, Rex Ying
HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR (2023)
Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
Adversarially Robust Neural Architecture Search for Graph Neural Networks. CoRR (2023)
Jialin Chen, Rex Ying
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery. NeurIPS (2023)
Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. CoRR (2023)
Junchi Yu, Ran He, Rex Ying
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models. CoRR (2023)
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR (2023)
Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR (2023)
Aosong Feng, Irene Li, Yuang Jiang, Rex Ying
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. AAAI (2023)
Delvin Ce Zhang, Rex Ying, Hady W. Lauw
Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree. KDD (2023)
Jialin Chen, Rex Ying
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery. CoRR (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. ICML (2023)
Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR (2023)
Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data. NeurIPS (2023)
Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. ICML (2023)
Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion. CoRR (2023)
Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup
MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR (2023)
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR (2023)
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
Generative Explanation for Graph Neural Network: Methods and Evaluation. IEEE Data Eng. Bull. 46 (2) (2023)
Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Rex Ying, Xiaoxiao Li
Community-Aware Transformer for Autism Prediction in fMRI Connectome. MICCAI (8) (2023)
Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying
Learning High-Order Relationships of Brain Regions. CoRR (2023)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022)
Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
Local Augmentation for Graph Neural Networks. ICML (2022)
Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. CoRR (2022)
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò
Learning Graph Search Heuristics. CoRR (2022)
Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. KDD (2022)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR (2022)
Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. CoRR (2022)
Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu
How Powerful is Implicit Denoising in Graph Neural Networks. CoRR (2022)
Songtao Liu, Rex Ying, Zuobai Zhang, Peilin Zhao, Jian Tang, Lu Lin, Dinghao Wu
Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree. CoRR (2022)
Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying
Efficient Automatic Machine Learning via Design Graphs. CoRR (2022)
Aosong Feng, Irene Li, Yuang Jiang, Rex Ying
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences. CoRR (2022)
Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. CoRR (2021)
Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. NAACL-HLT (2021)
Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec
Bipartite Dynamic Representations for Abuse Detection. KDD (2021)
Jiaqing Xie, Rex Ying
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks. CoRR (2021)
Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
Neural Distance Embeddings for Biological Sequences. CoRR (2021)
Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec
Identity-aware Graph Neural Networks. CoRR (2021)
Jiaxuan You, Jonathan M. Gomes-Selman, Rex Ying, Jure Leskovec
Identity-aware Graph Neural Networks. AAAI (2021)
Jiaqing Xie, Rex Ying
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks. PKDD/ECML Workshops (1) (2021)
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
Multi-hop Attention Graph Neural Networks. IJCAI (2021)
Yushi Bai, Rex Ying, Hongyu Ren, Jure Leskovec
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. CoRR (2021)
Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec
Neural Subgraph Matching. CoRR (2020)
Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
Neural Execution of Graph Algorithms. ICLR (2020)
Jiaxuan You, Rex Ying, Jure Leskovec
Design Space for Graph Neural Networks. CoRR (2020)
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia
Learning to Simulate Complex Physics with Graph Networks. CoRR (2020)
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia
Learning to Simulate Complex Physics with Graph Networks. ICML (2020)
Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken
Redundancy-Free Computation for Graph Neural Networks. KDD (2020)
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
Direct Multi-hop Attention based Graph Neural Network. CoRR (2020)
Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec
Hyperbolic Graph Convolutional Neural Networks. CoRR (2019)
Jiaxuan You, Rex Ying, Jure Leskovec
Position-aware Graph Neural Networks. ICML (2019)
Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. CoRR (2019)
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
Improving Graph Attention Networks with Large Margin-based Constraints. CoRR (2019)
Jiaxuan You, Rex Ying, Jure Leskovec
Position-aware Graph Neural Networks. CoRR (2019)
Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
Neural Execution of Graph Algorithms. CoRR (2019)
Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken
Redundancy-Free Computation Graphs for Graph Neural Networks. CoRR (2019)
Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. KDD (2018)
Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR (2018)
Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. CoRR (2018)
Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. CoRR (2018)
Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec
GraphRNN: A Deep Generative Model for Graphs. CoRR (2018)
Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML (2018)
William L. Hamilton, Rex Ying, Jure Leskovec
Inductive Representation Learning on Large Graphs. CoRR (2017)
William L. Hamilton, Rex Ying, Jure Leskovec
Representation Learning on Graphs: Methods and Applications. IEEE Data Eng. Bull. 40 (3) (2017)
William L. Hamilton, Rex Ying, Jure Leskovec
Representation Learning on Graphs: Methods and Applications. CoRR (2017)
Pankaj K. Agarwal, Kyle Fox, Jiangwei Pan, Rex Ying
Approximating Dynamic Time Warping and Edit Distance for a Pair of Point Sequences. SoCG (2016)
Rex Ying, Jiangwei Pan, Kyle Fox, Pankaj K. Agarwal
A simple efficient approximation algorithm for dynamic time warping. SIGSPATIAL/GIS (2016)
Pankaj K. Agarwal, Kyle Fox, Jiangwei Pan, Rex Ying
Approximating Dynamic Time Warping and Edit Distance for a Pair of Point Sequences. CoRR (2015)