Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Kun Zhang

Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications, Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
Natural Language Processing Faculty Publications

HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction, Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, Jingjie Wang
Machine Learning Faculty Publications

Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations, Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang
Machine Learning Faculty Publications

Leveraging Relational Graph Neural Network for Transductive Model Ensemble, Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
Machine Learning Faculty Publications

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Machine Learning Faculty Publications

Cross-Temporal Snapshot Alignment for Dynamic Networks, Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
Shangsong Liang

Enhancing Conversational Recommendation Systems with Representation Fusion, Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Shangsong Liang

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network, Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Shangsong Liang

Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation, Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin
Machine Learning Faculty Publications

Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation, Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin
Machine Learning Faculty Publications

Cross-Temporal Snapshot Alignment for Dynamic Networks, Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
Machine Learning Faculty Publications

Enhancing Conversational Recommendation Systems with Representation Fusion, Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Machine Learning Faculty Publications

Learning to Co-Embed Queries and Documents, Yuehong Wu, Bowen Lu, Lin Tian, Shangsong Liang
Shangsong Liang

Learning to Co-Embed Queries and Documents, Yuehong Wu, Bowen Lu, Lin Tian, Shangsong Liang
Machine Learning Faculty Publications

Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Shangsong Liang

Structure-Aware Random Fourier Kernel for Graphs, Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Shangsong Liang

Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Shangsong Liang

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites, Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, Shangsong Liang
Shangsong Liang

Cross-Temporal Snapshot Alignment for Dynamic Multi-Relational Networks, Lvjia Chen, Shangsong Liang
Shangsong Liang

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network, Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Machine Learning Faculty Publications

Data-Hungry Issue in Personalized Product Search, Wu Bin, Shangsong Liang, Yuehong Wu
Shangsong Liang

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, Zaiqiao Meng
Shangsong Liang

Hyperspherical Variational Co-embedding for Attributed Networks, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten De Rijke
Shangsong Liang

Personalized, Sequential, Attentive, Metric-Aware Product Search, Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
Machine Learning Faculty Publications

Cross-Temporal Snapshot Alignment for Dynamic Multi-Relational Networks, Lvjia Chen, Shangsong Liang
Machine Learning Faculty Publications

Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Machine Learning Faculty Publications

Personalized, Sequential, Attentive, Metric-Aware Product Search, Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
Shangsong Liang

Revisiting Parameter-Efficient Tuning: Are We Really There Yet?, Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Machine Learning Faculty Publications

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites, Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, Shangsong Liang
Machine Learning Faculty Publications

Data-Hungry Issue in Personalized Product Search, Wu Bin, Shangsong Liang, Yuehong Wu
Machine Learning Faculty Publications

Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Machine Learning Faculty Publications

Structure-Aware Random Fourier Kernel for Graphs, Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Machine Learning Faculty Publications

Hyperspherical Variational Co-embedding for Attributed Networks, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten De Rijke
Machine Learning Faculty Publications

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, Zaiqiao Meng
Machine Learning Faculty Publications

A Normalizing Flow-Based Co-Embedding Model for Attributed Networks, Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng
Machine Learning Faculty Publications