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ORCIDRex Ying
Zhitao Ying
Person information
- affiliation: Stanford University, Department of Computer Science, CA, USA
- affiliation (former): Duke University, Department of Computer Science, Durham, NC, USA
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Books and Theses
- 2021
[b1]Rex Ying:
Towards expressive and scalable deep representation learning for graphs. Stanford University, USA, 2021
Journal Articles
- 2023
- [j3]Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanation for Graph Neural Network: Methods and Evaluation. IEEE Data Eng. Bull. 46(2): 64-79 (2023) - 2022
- [j2]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) - 2017
- [j1]William L. Hamilton, Rex Ying, Jure Leskovec:
Representation Learning on Graphs: Methods and Applications. IEEE Data Eng. Bull. 40(3): 52-74 (2017)
Conference and Workshop Papers
- 2024
- [c43]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: 4537-4545 - [c42]Junchi Yu, Ran He, Zhitao Ying:
Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models. ICLR 2024 - [c41]Tianyu Fu
, Chiyue Wei, Yu Wang, Rex Ying:
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. WSDM 2024: 218-227 - [c40]Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw:
Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges. WWW (Companion Volume) 2024: 1298-1301 - 2023
- [c39]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. AAAI 2023: 12772-12780 - [c38]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) 2023: 161-171 - [c37]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: 8143-8152 - [c36]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: 22028-22041 - [c35]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. ICML 2023: 39639-39659 - [c34]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: 3057-3069 - [c33]Delvin Ce Zhang, Rex Ying, Hady W. Lauw:
Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree. KDD 2023: 3206-3216 - [c32]Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup:
MUDiff: Unified Diffusion for Complete Molecule Generation. LoG 2023: 33 - [c31]Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Rex Ying, Xiaoxiao Li:
Community-Aware Transformer for Autism Prediction in fMRI Connectome. MICCAI (8) 2023: 287-297 - [c30]Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao:
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data. NeurIPS 2023 - [c29]Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying:
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion. NeurIPS 2023 - [c28]Jialin Chen, Rex Ying:
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery. NeurIPS 2023 - [c27]Tinglin Huang, Ziniu Hu, Rex Ying:
Learning to Group Auxiliary Datasets for Molecule. NeurIPS 2023 - [c26]Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai:
Static and Sequential Malicious Attacks in the Context of Selective Forgetting. NeurIPS 2023 - 2022
- [c25]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: 14054-14072 - [c24]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: 4184-4194 - [c23]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. LoG 2022: 10 - [c22]Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang:
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. LoG 2022: 44 - 2021
- [c21]Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. AAAI 2021: 10737-10745 - [c20]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Multi-hop Attention Graph Neural Networks. IJCAI 2021: 3089-3096 - [c19]Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Bipartite Dynamic Representations for Abuse Detection. KDD 2021: 3638-3648 - [c18]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: 2884-2894 - [c17]Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec:
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. NeurIPS 2021: 12316-12327 - [c16]Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. NeurIPS 2021: 18539-18551 - [c15]Jiaqing Xie, Rex Ying:
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks. PKDD/ECML Workshops (1) 2021: 238-257 - 2020
- [c14]Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell:
Neural Execution of Graph Algorithms. ICLR 2020 - [c13]Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia:
Learning to Simulate Complex Physics with Graph Networks. ICML 2020: 8459-8468 - [c12]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation for Graph Neural Networks. KDD 2020: 997-1005 - [c11]Jiaxuan You, Zhitao Ying, Jure Leskovec:
Design Space for Graph Neural Networks. NeurIPS 2020 - 2019
- [c10]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. ICML 2019: 7134-7143 - [c9]Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. NeurIPS 2019: 4869-4880 - [c8]Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNNExplainer: Generating Explanations for Graph Neural Networks. NeurIPS 2019: 9240-9251 - 2018
- [c7]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML 2018: 5694-5703 - [c6]Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. KDD 2018: 974-983 - [c5]Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS 2018: 4805-4815 - [c4]Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. NeurIPS 2018: 6412-6422 - 2017
- [c3]William L. Hamilton, Zhitao Ying, Jure Leskovec:
Inductive Representation Learning on Large Graphs. NIPS 2017: 1024-1034 - 2016
- [c2]Pankaj K. Agarwal, Kyle Fox, Jiangwei Pan, Rex Ying:
Approximating Dynamic Time Warping and Edit Distance for a Pair of Point Sequences. SoCG 2016: 6:1-6:16 - [c1]Rex Ying, Jiangwei Pan, Kyle Fox, Pankaj K. Agarwal:
A simple efficient approximation algorithm for dynamic time warping. SIGSPATIAL/GIS 2016: 21:1-21:10
Informal and Other Publications
- 2024
- [i57]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 C. 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 abs/2401.05561 (2024) - [i56]Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec:
Representation Learning for Frequent Subgraph Mining. CoRR abs/2402.14367 (2024) - [i55]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 abs/2403.04880 (2024) - [i54]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 abs/2403.04882 (2024) - [i53]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 abs/2404.01340 (2024) - [i52]Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying:
Explaining Graph Neural Networks via Structure-aware Interaction Index. CoRR abs/2405.14352 (2024) - [i51]Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying:
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. CoRR abs/2406.12072 (2024) - [i50]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 abs/2407.00849 (2024) - [i49]Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying:
Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR abs/2407.01290 (2024) - [i48]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 abs/2407.09618 (2024) - 2023
- [i47]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 abs/2304.04168 (2023) - [i46]Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup:
MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR abs/2304.14621 (2023) - [i45]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR abs/2305.03319 (2023) - [i44]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 abs/2306.03355 (2023) - [i43]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR abs/2306.09118 (2023) - [i42]Tinglin Huang, Ziniu Hu, Rex Ying:
Learning to Group Auxiliary Datasets for Molecule. CoRR abs/2307.04052 (2023) - [i41]Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying:
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. CoRR abs/2308.08198 (2023) - [i40]Kenza Amara, Mennatallah El-Assady, Rex Ying:
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations. CoRR abs/2309.16223 (2023) - [i39]Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao:
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data. CoRR abs/2310.02275 (2023) - [i38]Junchi Yu, Ran He, Rex Ying:
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models. CoRR abs/2310.03965 (2023) - [i37]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 abs/2310.17579 (2023) - [i36]Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying:
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion. CoRR abs/2310.19321 (2023) - [i35]Jialin Chen, Rex Ying:
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery. CoRR abs/2310.19324 (2023) - [i34]Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanations for Graph Neural Network: Methods and Evaluations. CoRR abs/2311.05764 (2023) - [i33]Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang:
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR abs/2311.05767 (2023) - [i32]Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying:
Learning High-Order Relationships of Brain Regions. CoRR abs/2312.02203 (2023) - [i31]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 abs/2312.04615 (2023) - 2022
- [i30]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 abs/2204.02625 (2022) - [i29]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 abs/2206.07680 (2022) - [i28]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 abs/2206.09677 (2022) - [i27]Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu:
How Powerful is Implicit Denoising in Graph Neural Networks. CoRR abs/2209.14514 (2022) - [i26]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 abs/2209.15315 (2022) - [i25]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences. CoRR abs/2210.11794 (2022) - [i24]Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying:
Efficient Automatic Machine Learning via Design Graphs. CoRR abs/2210.12257 (2022) - [i23]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. CoRR abs/2212.03978 (2022) - 2021
- [i22]Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. CoRR abs/2101.10320 (2021) - [i21]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 abs/2103.11794 (2021) - [i20]Jiaqing Xie, Rex Ying:
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks. CoRR abs/2106.13061 (2021) - [i19]Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. CoRR abs/2109.09740 (2021) - [i18]Yushi Bai, Rex Ying, Hongyu Ren, Jure Leskovec:
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. CoRR abs/2110.14923 (2021) - 2020
- [i17]Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia:
Learning to Simulate Complex Physics with Graph Networks. CoRR abs/2002.09405 (2020) - [i16]Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec:
Neural Subgraph Matching. CoRR abs/2007.03092 (2020) - [i15]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Direct Multi-hop Attention based Graph Neural Network. CoRR abs/2009.14332 (2020) - [i14]Jiaxuan You, Rex Ying, Jure Leskovec:
Design Space for Graph Neural Networks. CoRR abs/2011.08843 (2020) - 2019
- [i13]Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. CoRR abs/1903.03894 (2019) - [i12]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation Graphs for Graph Neural Networks. CoRR abs/1906.03707 (2019) - [i11]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. CoRR abs/1906.04817 (2019) - [i10]Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell:
Neural Execution of Graph Algorithms. CoRR abs/1910.10593 (2019) - [i9]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Improving Graph Attention Networks with Large Margin-based Constraints. CoRR abs/1910.11945 (2019) - [i8]Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. CoRR abs/1910.12933 (2019) - 2018
- [i7]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: A Deep Generative Model for Graphs. CoRR abs/1802.08773 (2018) - [i6]Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. CoRR abs/1806.01973 (2018) - [i5]Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. CoRR abs/1806.02473 (2018) - [i4]Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR abs/1806.08804 (2018) - 2017
- [i3]William L. Hamilton, Rex Ying, Jure Leskovec:
Inductive Representation Learning on Large Graphs. CoRR abs/1706.02216 (2017) - [i2]William L. Hamilton, Rex Ying, Jure Leskovec:
Representation Learning on Graphs: Methods and Applications. CoRR abs/1709.05584 (2017) - 2015
- [i1]Pankaj K. Agarwal, Kyle Fox, Jiangwei Pan, Rex Ying:
Approximating Dynamic Time Warping and Edit Distance for a Pair of Point Sequences. CoRR abs/1512.01876 (2015)
Coauthor Index
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