Ziqiao Meng

According to our database1, Ziqiao Meng authored at least 11 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping.
CoRR, 2024

A Diffusion-Based Pre-training Framework for Crystal Property Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Modeling Scale-free Graphs for Knowledge-aware Recommendation.
CoRR, 2021

Semi-supervised Multi-label Learning for Graph-structured Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020


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