---
title: "Jiaxuan You — all works — Elamur Research"
description: "All 28 works of Jiaxuan You in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/jiaxuan-you/works/"
---
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# Jiaxuan You — all works

28 works · [← Jiaxuan You](https://md.research.elamur.ai/free/en/authors/jiaxuan-you/)

1. **[Hierarchical graph representation learning with differentiable pooling ↗](https://openalex.org/W2811124557) neural information processing systems · no summary yet**Zhitao Ying et al.*2018 · 865 citations*
2. **[GNNExplainer: Generating Explanations for Graph Neural Networks ↗](https://arxiv.org/abs/1903.03894) arXiv (Cornell University) · no summary yet**Rex Ying et al.*2019 · 685 citations*
3. **[Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data ↗](https://doi.org/10.1609/aaai.v31i1.11172) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiaxuan You et al.*2017 · 566 citations*
4. **[GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ↗](https://arxiv.org/abs/1802.08773) arXiv (Cornell University) · no summary yet**Jiaxuan You et al.*2018 · 490 citations*
5. **[Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation ↗](https://arxiv.org/abs/1806.02473) arXiv (Cornell University) · no summary yet**Jiaxuan You et al.*2018 · 259 citations*
6. **[ROLAND: Graph Learning Framework for Dynamic Graphs ↗](https://doi.org/10.1145/3534678.3539300) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Jiaxuan You, Tianyu Du, Jure Leskovec*2022 · 190 citations*
7. **[Design Space for Graph Neural Networks ↗](https://arxiv.org/abs/2011.08843) arXiv (Cornell University) · no summary yet**Jiaxuan You, Rex Ying, Jure Leskovec*2020 · 176 citations*
8. **[Identity-aware Graph Neural Networks ↗](https://doi.org/10.1609/aaai.v35i12.17283) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiaxuan You et al.*2021 · 159 citations*
9. **[Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems ↗](https://arxiv.org/abs/1904.04381) arXiv:1904.04381 · no summary yet**Jiaxuan You et al.*2019 · 127 citations*
10. **[Handling Missing Data with Graph Representation Learning ↗](https://arxiv.org/abs/2010.16418) arXiv (Cornell University) · no summary yet**Jiaxuan You et al.*2020 · 101 citations*
11. **[Position-aware Graph Neural Networks ↗](https://arxiv.org/abs/1906.04817) arXiv (Cornell University) · no summary yet**Jiaxuan You, Rex Ying, Jure Leskovec*2019 · 94 citations*
12. **[MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents](https://md.research.elamur.ai/free/en/papers/zhu-2025-multiagentbench-evaluating-collaboration-competition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kunlun Zhu, Hongyi Du, Zhaochen Hong, et al.*2025 · 69 citations*
13. **[Inductive Learning on Commonsense Knowledge Graph Completion ↗](https://doi.org/10.1109/ijcnn52387.2021.9534355) arXiv:2009.09263 · no summary yet**Bin Wang et al.*2021 · 46 citations*
14. **[Neural Subgraph Matching ↗](https://arxiv.org/abs/2007.03092) arXiv (Cornell University) · no summary yet**Rex et al.*2020 · 44 citations*
15. [**ResearchTown: Simulator of Human Research Community arXiv:2412.17767**Haofei Yu, Zhaochen Hong, Zirui Cheng, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-researchtown-simulator-human-research-community/)
16. **[Relational Deep Learning: Graph Representation Learning on Relational Databases ↗](https://arxiv.org/abs/2312.04615) arXiv (Cornell University) · no summary yet**Matthias Fey et al.*2023 · 23 citations*
17. **[G2SAT: Learning to Generate SAT Formulas ↗](https://arxiv.org/abs/1910.13445) PubMed · no summary yet**Jiaxuan You et al.*2019 · 23 citations*
18. **[Graph Structure of Neural Networks ↗](https://arxiv.org/abs/2007.06559) arXiv (Cornell University) · no summary yet**Jiaxuan You et al.*2020 · 21 citations*
19. **[Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning ↗](https://doi.org/10.1016/j.jbi.2023.104407) Journal of Biomedical Informatics · no summary yet**Sajjad Fouladvand et al.*2023 · 14 citations*
20. [**GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation arXiv:2503.12600**Tao Feng, Yihang Sun, Jiaxuan You*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/feng-2025-grapheval-lightweight-graph-based-llm/)
21. **[Redundancy-Free Computation Graphs for Graph Neural Networks ↗](https://arxiv.org/abs/1906.03707) arXiv (Cornell University) · no summary yet**Zhihao Jia et al.*2019 · 9 citations*
22. [**SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents arXiv:2505.23559**Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-safescientist-toward-risk-aware-scientific/)
23. **[Relational Multi-Task Learning: Modeling Relations between Data and Tasks ↗](https://arxiv.org/abs/2303.07666) arXiv (Cornell University) · no summary yet**Kaidi Cao, Jiaxuan You, Jure Leskovec*2023 · 8 citations*
24. **[Representation Learning for Frequent Subgraph Mining ↗](https://arxiv.org/abs/2402.14367) arXiv (Cornell University) · no summary yet**Rex Ying et al.*2024 · 4 citations*
25. **[Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills ↗](https://doi.org/10.4230/lipics.esem.2026.62) arXiv (Cornell University) · no summary yet**Jiang, Pengcheng et al.*2025 · 3 citations*
26. **[AdaGrid: Adaptive Grid Search for Link Prediction Training Objective ↗](https://arxiv.org/abs/2203.16162) arXiv (Cornell University) · no summary yet**Tim Poštuvan et al.*2022 · 1 citation*
27. **[Efficient Automatic Machine Learning via Design Graphs ↗](https://arxiv.org/abs/2210.12257) arXiv (Cornell University) · no summary yet**Wu, Shirley et al.*2022 · 1 citation*
28. **[AutoTransfer: AutoML with Knowledge Transfer — An Application to Graph Neural Networks ↗](https://arxiv.org/abs/2303.07669) arXiv (Cornell University) · no summary yet**Kaidi Cao et al.*2023*