Zhichun Guo

Orcid: 0000-0002-7673-8568

According to our database1, Zhichun Guo authored at least 26 papers between 2019 and 2024.

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Bibliography

2024
Node Duplication Improves Cold-start Link Prediction.
CoRR, 2024

Universal Link Predictor By In-Context Learning on Graphs.
CoRR, 2024

2023
SD<sup>2</sup>: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.
IEEE Trans. Vis. Comput. Graph., August, 2023

Pure Message Passing Can Estimate Common Neighbor for Link Prediction.
CoRR, 2023

What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks.
CoRR, 2023

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Linkless Link Prediction via Relational Distillation.
Proceedings of the International Conference on Machine Learning, 2023

Link Prediction with Non-Contrastive Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Boosting Graph Neural Networks via Adaptive Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs.
CoRR, 2022

Graph-based Molecular Representation Learning.
CoRR, 2022

SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.
CoRR, 2022

Flashlight: Scalable Link Prediction With Effective Decoders.
Proceedings of the Learning on Graphs Conference, 2022

FakeEdge: Alleviate Dataset Shift in Link Prediction.
Proceedings of the Learning on Graphs Conference, 2022

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

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation.
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

2021
Few-Shot Graph Learning for Molecular Property Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Sentence-Permuted Paragraph Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Action Sequence Augmentation for Early Graph-based Anomaly Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching.
CoRR, 2020

GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Exploring the power of social hub services.
World Wide Web, 2019


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