Yanqiao Zhu

发表

Graph Contrastive Learning with Adaptive Augmentation pdf

Qiang Liu, Shu Wu, Liang Wang, 2020, WWW.

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

Carl Yang, Yanqiao Zhu, Xuan Kan, 2022, KDD.

An Empirical Study of Graph Contrastive Learning Supplementary Material

Yanqiao Zhu, Yichen Xu, Q. Liu, 2022 .

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis

Carl Yang, Yanqiao Zhu, Lifang He, 2021, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Carl Yang, Yanqiao Zhu, Xiaoxiao Li, 2022, ArXiv.

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction

Shu Wu, Yanqiao Zhu, Feng Yu, 2021, CIKM.

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Carl Yang, Yanqiao Zhu, Xiaoxiao Li, 2022, MICCAI.

Deep Contrastive Multiview Network Embedding

Liang Wang, Yanqiao Zhu, Q. Liu, 2021, CIKM.

Improving Molecular Pretraining with Complementary Featurizations

Yanqiao Zhu, Q. Liu, Shu Wu, 2022, ArXiv.

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks

Carl Yang, L. Zhan, Yanqiao Zhu, 2022, IEEE Transactions on Medical Imaging.

A Survey on Graph Structure Learning: Progress and Opportunities

Carl Yang, Jieyu Zhang, Yanqiao Zhu, 2021, 2103.03036.

A Survey on Deep Graph Generation: Methods and Applications

Jieyu Zhang, Yanqiao Zhu, Yichen Xu, 2022, LoG.

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract)

Carl Yang, Yanqiao Zhu, Xiangchen Song, 2022, 2022 IEEE International Conference on Big Data (Big Data).

A Systematic Survey of Molecular Pre-trained Models

Yanqiao Zhu, Yuanqi Du, Stan Z.Li, 2022, arXiv.org.

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks

Carl Yang, L. Zhan, Yanqiao Zhu, 2022, IEEE Transactions on Medical Imaging.

A Survey on Pretrained Language Models for Neural Code Intelligence

Yanqiao Zhu, Yichen Xu, 2022, ArXiv.

Deep Graph Structure Learning for Robust Representations: A Survey

Liang Wang, Yanqiao Zhu, Shu Wu, 2021, ArXiv.

Session-based Recommendation with Graph Neural Networks

Xing Xie, Tieniu Tan, Shu Wu, 2018, AAAI.

Neighborhood-Regularized Self-Training for Learning with Few Labels

Carl Yang, Chao Zhang, Joyce Ho, 2023, AAAI.

Deep Graph Contrastive Representation Learning

Liang Wang, Yanqiao Zhu, Yichen Xu, 2020, ArXiv.

CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning pdf

Shu Wu, Liang Wang, Yanqiao Zhu, 2020, ArXiv.

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

Qiang Liu, Tieniu Tan, Liang Wang, 2020, SIGIR.

Deep Active Learning for Text Classification with Diverse Interpretations

Shu Wu, Qiang Liu, Yanqiao Zhu, 2021, CIKM.

Effective Graph Learning with Adaptive Knowledge Exchange

Jian Li, Yanqiao Zhu, Zijun Yao, 2021, 2106.05455.

Mining Latent Structures for Multimedia Recommendation

Shu Wu, Shuhui Wang, Liang Wang, 2021, ACM Multimedia.

An Empirical Study of Graph Contrastive Learning pdf

Shu Wu, Yichen Xu, Qiang Liu, 2021, NeurIPS Datasets and Benchmarks.

Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification

Tieniu Tan, Shu Wu, Liang Wang, 2019, IJCAI.

Active Learning for Wireless IoT Intrusion Detection

Kai Yang, Jie Ren, Yanqiao Zhu, 2018, IEEE Wireless Communications.

Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation

Liang Wang, Yanqiao Zhu, Shu Wu, 2021, IEEE Transactions on Knowledge and Data Engineering.

Structure-Enhanced Heterogeneous Graph Contrastive Learning

Carl Yang, Yanqiao Zhu, Yichen Xu, 2022, SDM.

Code Recommendation for Open Source Software Developers

Yizhou Sun, Yanqiao Zhu, Yunsheng Bai, 2022, WWW.

M2Hub: Unlocking the Potential of Machine Learning for Materials Discovery

Carla P. Gomes, J. Gregoire, Yanqiao Zhu, 2023, ArXiv.

Unsupervised Graph Representation Learning with Cluster-Aware Self-Training and Refining

Yanqiao Zhu, Yichen Xu, Feng Yu, 2023, ACM Transactions on Intelligent Systems and Technology.

GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction pdf

Tieniu Tan, Liang Wang, Yanqiao Zhu, 2019, Pattern Recognit..

A Systematic Survey of Chemical Pre-trained Models

Yanqiao Zhu, Yuanqi Du, Stan Z.Li, 2022, IJCAI.

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Stan Z. Li, Yanqiao Zhu, Yuanqi Du, 2022, arXiv.org.

Deep Contrastive Learning for Multi-View Network Embedding pdf

Shu Wu, Liang Wang, Yanqiao Zhu, 2021, ArXiv.

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

Jieyu Zhang, Yizhou Sun, Ziniu Hu, 2023, ICML.

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

Connor W. Coley, O. Isayev, Yanqiao Zhu, 2023, 2310.00115.

Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation pdf

Shu Wu, Liang Wang, Jinghao Zhang, 2021, ArXiv.

Uncovering Neural Scaling Laws in Molecular Representation Learning

Liang Wang, Jieyu Zhang, Yanqiao Zhu, 2023, NeurIPS.

Deep Graph Structure Learning for Robust Representations: A Survey

Liang Wang, Yanqiao Zhu, Shu Wu, 2021, ArXiv.

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis

Carl Yang, C. Zhang, Yanqiao Zhu, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining

Yanqiao Zhu, Yichen Xu, Feng Yu, 2023, ACM Trans. Intell. Syst. Technol..