Jiaqi Ma

Orcid: 0000-0001-8292-5901

Affiliations:
  • University of Michigan, School of Information, Ann Arbor, MI, USA


According to our database1, Jiaqi Ma authored at least 29 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
Trans. Mach. Learn. Res., 2024

DCA-Bench: A Benchmark for Dataset Curation Agents.
CoRR, 2024

Efficient Ensembles Improve Training Data Attribution.
CoRR, 2024

PM2.5 forecasting under distribution shift: A graph learning approach.
AI Open, 2024

2023
Partition-Based Active Learning for Graph Neural Networks.
Trans. Mach. Learn. Res., 2023

Computational Copyright: Towards A Royalty Model for AI Music Generation Platforms.
CoRR, 2023

Can LLMs Effectively Leverage Graph Structural Information: When and Why.
CoRR, 2023

A Metadata-Driven Approach to Understand Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.
J. Mach. Learn. Res., 2022

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks.
Proceedings of the Learning on Graphs Conference, 2022

2021
How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation.
CoRR, 2021

GReS: Workshop on Graph Neural Networks for Recommendation and Search.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Subgroup Generalization and Fairness of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access.
CoRR, 2020

Off-policy Learning in Two-stage Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Towards More Practical Adversarial Attacks on Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Graph Representation Learning via Multi-task Knowledge Distillation.
CoRR, 2019

A Flexible Generative Framework for Graph-based Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
DeepCas: An End-to-end Predictor of Information Cascades.
Proceedings of the 26th International Conference on World Wide Web, 2017

2016
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning cascaded influence under partial monitoring.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016


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