Qingqing Long

According to our database, Qingqing Long authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

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

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

CoRR, 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

CoRR, 2024

A Survey of Data-Efficient Graph Learning.

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

CoRR, 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