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Qingqing Long
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2020 – today
- 2024
- [j2]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: 106207 (2024) - [c12]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: 1035-1044 - [c11]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: 4328-4339 - [i12]Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang:
A Survey of Data-Efficient Graph Learning. CoRR abs/2402.00447 (2024) - [i11]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 abs/2402.01231 (2024) - [i10]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 abs/2402.13556 (2024) - [i9]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 abs/2402.16424 (2024) - [i8]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 abs/2405.11868 (2024) - [i7]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 abs/2406.07404 (2024) - 2023
- [i6]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 abs/2304.05055 (2023) - 2022
- [j1]Guojie Song
, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin
:
Deep Convolutional Neural Network Based Medical Concept Normalization. IEEE Trans. Big Data 8(5): 1195-1208 (2022) - [c10]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: 2341-2346 - [c9]Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang:
Polarized Graph Neural Networks. WWW 2022: 1404-1413 - 2021
- [c8]Xu Chen, Lun Du
, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie:
Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. ICASSP 2021: 3580-3584 - [c7]Zheng Fang
, Qingqing Long, Guojie Song, Kunqing Xie:
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. KDD 2021: 364-373 - [c6]Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song:
HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. KDD 2021: 1129-1138 - [c5]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: 2161-2165 - [c4]Qingqing Long, Yilun Jin, Yi Wu, Guojie Song:
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. WWW 2021: 1204-1214 - [i5]Qingqing Long, Yilun Jin, Yi Wu, Guojie Song:
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. CoRR abs/2104.02995 (2021) - [i4]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 abs/2105.07752 (2021) - [i3]Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie:
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. CoRR abs/2106.12931 (2021) - 2020
- [c3]Junshan Wang, Ziyao Li
, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. ICDM 2020: 1310-1315 - [c2]Qingqing Long, Yilun Jin, Guojie Song, Yi Li
, Wei Lin:
Graph Structural-topic Neural Network. KDD 2020: 1065-1073 - [i2]Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin:
Graph Structural-topic Neural Network. CoRR abs/2006.14278 (2020) - [i1]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. CoRR abs/2012.02434 (2020)
2010 – 2019
- 2019
- [c1]Qingqing Long, Yiming Wang, Lun Du
, Guojie Song, Yilun Jin
, Wei Lin:
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM 2019: 409-418
Coauthor Index
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last updated on 2024-08-10 01:25 CEST by the dblp team
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