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2020 – today
- 2024
[j3]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)- [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) - [c14]Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang:
A Survey of Data-Efficient Graph Learning. IJCAI 2024: 8104-8113 - [c13]Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng:
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation. MICCAI (3) 2024: 303-313 - [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 - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao:
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. CoRR abs/2407.12338 (2024) - [i7]Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou:
BioRAG: A RAG-LLM Framework for Biological Question Reasoning. CoRR abs/2408.01107 (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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