Qingqing Long

According to our database, Qingqing Long authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang

Neural Networks, 2024

BioRAG: A RAG-LLM Framework for Biological Question Reasoning.

Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou

CoRR, 2024

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao

CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang

CoRR, 2024

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.

Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou

CoRR, 2024

Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework.

Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou

Briefings Bioinform., 2024

Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.

Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long

Proceedings of the ACM on Web Conference 2024, 2024

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations.

Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou

Proceedings of the ACM on Web Conference 2024, 2024

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation.

Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Survey of Data-Efficient Graph Learning.

Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MOAT: Graph Prompting for 3D Molecular Graphs.

Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation.

Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.

Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang

CoRR, 2023

2022

Deep Convolutional Neural Network Based Medical Concept Normalization.

Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin

IEEE Trans. Big Data, 2022

Polarized Graph Neural Networks.

Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Joint Optimization of Ad Ranking and Creative Selection.

Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels.

Qingqing Long, Yilun Jin, Yi Wu, Guojie Song

Proceedings of the WWW '21: The Web Conference 2021, 2021

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction.

Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks.

Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting.

Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fast Hierarchy Preserving Graph Embedding via Subspace Constraints.

Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Graph Structural-topic Neural Network.

Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning Node Representations from Noisy Graph Structures.

Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach.

Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019