Yihong Ma

Orcid: 0000-0003-4729-5953

According to our database1, Yihong Ma authored at least 10 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective.
CoRR, 2024

2023
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.
IEEE Trans. Knowl. Data Eng., 2023

Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows.
IEEE Intell. Syst., 2023

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks.
CoRR, 2023

Class-Imbalanced Learning on Graphs: A Survey.
CoRR, 2023

Graph-based Molecular Representation Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.
CoRR, 2020


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