🧑‍🔬 Rex Ying — all works

32 works · ← Rex Ying

1. Inductive Representation Learning on Large GraphsarXiv:1706.02216William L. Hamilton, Rex Ying, Jure Leskovec2017 · 4,795 citations
2. Graph Convolutional Neural Networks for Web-Scale Recommender Systems ↗ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yetRex Ying et al.2018 · 3,023 citations
3. Hierarchical graph representation learning with differentiable pooling ↗neural information processing systems · no summary yetZhitao Ying et al.2018 · 865 citations
4. GNNExplainer: Generating Explanations for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetRex Ying et al.2019 · 685 citations
5. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2018 · 490 citations
6. Learning to Simulate Complex Physics with Graph Networks ↗arXiv:2002.09405 · no summary yetAlvaro Sanchez-Gonzalez et al.2020 · 462 citations
7. Representation Learning on Graphs: Methods and Applications ↗arXiv (Cornell University) · no summary yetWilliam L. Hamilton, Rex Ying, Jure Leskovec2017 · 366 citations
8. Hyperbolic Graph Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetInes Chami et al.2019 · 291 citations
9. Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2018 · 259 citations
10. Design Space for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You, Rex Ying, Jure Leskovec2020 · 176 citations
11. Identity-aware Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJiaxuan You et al.2021 · 159 citations
12. Multi-hop Attention Graph Neural Networks ↗no summary yetGuangtao Wang et al.2021 · 111 citations
13. Position-aware Graph Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You, Rex Ying, Jure Leskovec2019 · 94 citations
14. Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetXiaochen Hou et al.2021 · 62 citations
15. From Similarity to Superiority: Channel Clustering for Time Series Forecasting ↗neural information processing systems · no summary yetJialin Chen et al.2024 · 44 citations
16. Bipartite Dynamic Representations for Abuse Detection ↗no summary yetAndrew Z. Wang et al.2021 · 35 citations
17. Multi-hop Attention Graph Neural Network ↗arXiv (Cornell University) · no summary yetGuangtao Wang et al.2020 · 34 citations
18. Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetTailin Wu et al.2022 · 33 citations
19. Improving Graph Attention Networks with Large Margin-based Constraints ↗arXiv (Cornell University) · no summary yetGuangtao Wang et al.2019 · 25 citations
20. Relational Deep Learning: Graph Representation Learning on Relational Databases ↗arXiv (Cornell University) · no summary yetMatthias Fey et al.2023 · 23 citations
21. Direct Multi-hop Attention based Graph Neural Network ↗arXiv (Cornell University) · no summary yetGuangtao Wang et al.2020 · 20 citations
22. Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones ↗arXiv (Cornell University) · no summary yetYushi Bai et al.2021 · 18 citations
23. MUDiff: Unified Diffusion for Complete Molecule Generation ↗arXiv (Cornell University) · no summary yetChenqing Hua et al.2023 · 14 citations
24. Neural Distance Embeddings for Biological Sequences ↗arXiv (Cornell University) · no summary yetGabriele Corso et al.2021 · 12 citations
25. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
26. Redundancy-Free Computation Graphs for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetZhihao Jia et al.2019 · 9 citations
27. Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QAAnnual Meeting of the Association for Computational Linguistics (ACL)Justice Ou, Tinglin Huang, Yilun Zhao, et al.2026 · 4 citations
28. Representation Learning for Frequent Subgraph Mining ↗arXiv (Cornell University) · no summary yetRex Ying et al.2024 · 4 citations
29. Learning Graph Search Heuristics ↗arXiv (Cornell University) · no summary yetMichal Pándy et al.2022 · 2 citations
30. Efficient Automatic Machine Learning via Design Graphs ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2022 · 1 citation
31. OTel: Open Telco AI Datasets, Benchmarks, and Models ↗arXiv (Cornell University) · no summary yetFarbod Tavakkoli et al.2026
32. Accelerating predictive modeling of laser-driven ion acceleration with deep learning ↗Bulletin of the American Physical Society · no summary yetJason Chou et al.2021

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/rex-ying/works/