Jiaqi Ma

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Graph Representation

Structural Information

Directed Acyclic Graph

Top Venues

Publications

Benhao Huang, Yingzhuo Yu, Jin Huang, Xingjian Zhang, Jiaqi Ma
DCA-Bench: A Benchmark for Dataset Curation Agents. CoRR (2024)
Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? Trans. Mach. Learn. Res. 2024 (2024)
Junwei Deng, Ting-Wei Li, Shichang Zhang, Jiaqi Ma
Efficient Ensembles Improve Training Data Attribution. CoRR (2024)
Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, Qiaozhu Mei
PM2.5 forecasting under distribution shift: A graph learning approach. AI Open 5 (2024)
Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei
Partition-Based Active Learning for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Ting Wei Li, Qiaozhu Mei, Jiaqi Ma
A Metadata-Driven Approach to Understand Graph Neural Networks. CoRR (2023)
Ting Wei Li, Qiaozhu Mei, Jiaqi Ma
A Metadata-Driven Approach to Understand Graph Neural Networks. NeurIPS (2023)
Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma
Can LLMs Effectively Leverage Graph Structural Information: When and Why. CoRR (2023)
Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. ICLR (2023)
Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). KDD (2023)
Junwei Deng, Jiaqi Ma
Computational Copyright: Towards A Royalty Model for AI Music Generation Platforms. CoRR (2023)
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. WSDM (2022)
Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. LoG (2022)
Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. CoRR (2022)
Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. WSDM (2022)
Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. J. Mach. Learn. Res. 23 (2022)
Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei
Partition-Based Active Learning for Graph Neural Networks. CoRR (2022)
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. CoRR (2021)
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Subgroup Generalization and Fairness of Graph Neural Networks. CoRR (2021)
Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei
How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation. CoRR (2021)
Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein
GReS: Workshop on Graph Neural Networks for Recommendation and Search. RecSys (2021)
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Subgroup Generalization and Fairness of Graph Neural Networks. NeurIPS (2021)
Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. CoRR (2021)
Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. ICLR (2021)
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed Chi, Qiaozhu Mei
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS (2021)
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR (2020)
Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. CoRR (2020)
Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei
Towards More Practical Adversarial Attacks on Graph Neural Networks. NeurIPS (2020)
Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. CoRR (2020)
Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi
Off-policy Learning in Two-stage Recommender Systems. WWW (2020)
Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access. CoRR (2020)
Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei
A Flexible Generative Framework for Graph-based Semi-supervised Learning. CoRR (2019)
Jiaqi Ma, Qiaozhu Mei
Graph Representation Learning via Multi-task Knowledge Distillation. CoRR (2019)
Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei
A Flexible Generative Framework for Graph-based Semi-supervised Learning. NeurIPS (2019)
Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI (2019)
Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD (2018)
Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
DeepCas: An End-to-end Predictor of Information Cascades. WWW (2017)
Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. KDD (2016)
Jie Zhang, Jiaqi Ma, Jie Tang
Learning cascaded influence under partial monitoring. ASONAM (2016)
Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei
DeepCas: an End-to-end Predictor of Information Cascades. CoRR (2016)