🧑‍🔬 Jiaxuan You — all works

28 works · ← Jiaxuan You

1. Hierarchical graph representation learning with differentiable pooling ↗neural information processing systems · no summary yetZhitao Ying et al.2018 · 865 citations
2. GNNExplainer: Generating Explanations for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetRex Ying et al.2019 · 685 citations
3. Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJiaxuan You et al.2017 · 566 citations
4. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2018 · 490 citations
5. Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2018 · 259 citations
6. ROLAND: Graph Learning Framework for Dynamic Graphs ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetJiaxuan You, Tianyu Du, Jure Leskovec2022 · 190 citations
7. Design Space for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You, Rex Ying, Jure Leskovec2020 · 176 citations
8. Identity-aware Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJiaxuan You et al.2021 · 159 citations
9. Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems ↗arXiv:1904.04381 · no summary yetJiaxuan You et al.2019 · 127 citations
10. Handling Missing Data with Graph Representation Learning ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2020 · 101 citations
11. Position-aware Graph Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You, Rex Ying, Jure Leskovec2019 · 94 citations
12. MultiAgentBench: Evaluating the Collaboration and Competition of LLM agentsAnnual Meeting of the Association for Computational Linguistics (ACL)Kunlun Zhu, Hongyi Du, Zhaochen Hong, et al.2025 · 69 citations
13. Inductive Learning on Commonsense Knowledge Graph Completion ↗arXiv:2009.09263 · no summary yetBin Wang et al.2021 · 46 citations
14. Neural Subgraph Matching ↗arXiv (Cornell University) · no summary yetRex et al.2020 · 44 citations
15. ResearchTown: Simulator of Human Research CommunityarXiv:2412.17767Haofei Yu, Zhaochen Hong, Zirui Cheng, et al.2024 · 23 citations
16. Relational Deep Learning: Graph Representation Learning on Relational Databases ↗arXiv (Cornell University) · no summary yetMatthias Fey et al.2023 · 23 citations
17. G2SAT: Learning to Generate SAT Formulas ↗PubMed · no summary yetJiaxuan You et al.2019 · 23 citations
18. Graph Structure of Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2020 · 21 citations
19. Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning ↗Journal of Biomedical Informatics · no summary yetSajjad Fouladvand et al.2023 · 14 citations
20. GraphEval: A Lightweight Graph-Based LLM Framework for Idea EvaluationarXiv:2503.12600Tao Feng, Yihang Sun, Jiaxuan You2025 · 10 citations
21. Redundancy-Free Computation Graphs for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetZhihao Jia et al.2019 · 9 citations
22. SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM AgentsarXiv:2505.23559Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.2025 · 8 citations
23. Relational Multi-Task Learning: Modeling Relations between Data and Tasks ↗arXiv (Cornell University) · no summary yetKaidi Cao, Jiaxuan You, Jure Leskovec2023 · 8 citations
24. Representation Learning for Frequent Subgraph Mining ↗arXiv (Cornell University) · no summary yetRex Ying et al.2024 · 4 citations
25. Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills ↗arXiv (Cornell University) · no summary yetJiang, Pengcheng et al.2025 · 3 citations
26. AdaGrid: Adaptive Grid Search for Link Prediction Training Objective ↗arXiv (Cornell University) · no summary yetTim Poštuvan et al.2022 · 1 citation
27. Efficient Automatic Machine Learning via Design Graphs ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2022 · 1 citation
28. AutoTransfer: AutoML with Knowledge Transfer — An Application to Graph Neural Networks ↗arXiv (Cornell University) · no summary yetKaidi Cao et al.2023

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