Qingqing Long

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Structure Preserving

Graph Structures

Top Venues

Publications

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. CoRR (2024)
Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. CoRR (2024)
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
A Survey of Data-Efficient Graph Learning. CoRR (2024)
Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. CoRR (2024)
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
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173 (2024)
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
Towards Graph Contrastive Learning: A Survey and Beyond. CoRR (2024)
Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. WWW (2024)
Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. Briefings Bioinform. 25 (5) (2024)
Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. WWW (2024)
Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. CoRR (2024)
Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. CoRR (2024)
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
A Comprehensive Survey on Deep Graph Representation Learning. CoRR (2023)
Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng
Joint Optimization of Ad Ranking and Creative Selection. SIGIR (2022)
Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin
Deep Convolutional Neural Network Based Medical Concept Normalization. IEEE Trans. Big Data 8 (5) (2022)
Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang
Polarized Graph Neural Networks. WWW (2022)
Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. CoRR (2021)
Qingqing Long, Yilun Jin, Yi Wu, Guojie Song
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. CoRR (2021)
Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. CoRR (2021)
Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. KDD (2021)
Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. SIGIR (2021)
Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song
HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. KDD (2021)
Qingqing Long, Yilun Jin, Yi Wu, Guojie Song
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. WWW (2021)
Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie
Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. ICASSP (2021)
Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin
Graph Structural-topic Neural Network. CoRR (2020)
Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi
Learning Node Representations from Noisy Graph Structures. CoRR (2020)
Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi
Learning Node Representations from Noisy Graph Structures. ICDM (2020)
Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin
Graph Structural-topic Neural Network. KDD (2020)
Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM (2019)