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Qingqing Long
Qingqing Long
Chinese Academy of Sciences, Peking University
在 pku.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Spatial-temporal graph ode networks for traffic flow forecasting
Z Fang, Q Long, G Song, K Xie
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
3742021
A comprehensive survey on deep graph representation learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ...
Neural Networks, 106207, 2024
1082024
Graph structural-topic neural network
Q Long, Y Jin, G Song, Y Li, W Lin
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
562020
Hierarchical community structure preserving network embedding: A subspace approach
Q Long, Y Wang, L Du, G Song, Y Jin, W Lin
Proceedings of the 28th ACM international conference on information and …, 2019
362019
Theoretically improving graph neural networks via anonymous walk graph kernels
Q Long, Y Jin, Y Wu, G Song
Proceedings of the Web Conference 2021, 1204-1214, 2021
322021
Polarized graph neural networks
Z Fang, L Xu, G Song, Q Long, Y Zhang
Proceedings of the ACM Web Conference 2022, 1404-1413, 2022
252022
Hgk-gnn: Heterogeneous graph kernel based graph neural networks
Q Long, L Xu, Z Fang, G Song
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
202021
GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model
X Yang, G Liu, G Feng, D Bu, P Wang, J Jiang, S Chen, Q Yang, H Miao, ...
Cell Research, 1-16, 2024
192024
Learning node representations from noisy graph structures
J Wang, Z Li, Q Long, W Zhang, G Song, C Shi
2020 IEEE international conference on data mining (ICDM), 1310-1315, 2020
142020
A survey of data-efficient graph learning
W Ju, S Yi, Y Wang, Q Long, J Luo, Z Xiao, M Zhang
arXiv preprint arXiv:2402.00447, 2024
112024
Explicit semantic cross feature learning via pre-trained graph neural networks for CTR prediction
F Li, B Yan, Q Long, P Wang, W Lin, J Xu, B Zheng
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
112021
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective
Y Yan, P Zhang, Z Fang, Q Long
Proceedings of the ACM on Web Conference 2024, 4328-4339, 2024
62024
Deep convolutional neural network based medical concept normalization
G Song, Q Long, Y Luo, Y Wang, Y Jin
IEEE Transactions on Big Data 8 (5), 1195-1208, 2020
62020
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
Q Long, Z Fang, C Fang, C Chen, P Wang, Y Zhou
Proceedings of the ACM on Web Conference 2024, 1035-1044, 2024
42024
Fast hierarchy preserving graph embedding via subspace constraints
X Chen, L Du, M Chen, Y Wang, Q Long, K Xie
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
42021
Joint Optimization of Ad Ranking and Creative Selection
K Lin, X Zhang, F Li, P Wang, Q Long, H Deng, J Xu, B Zheng
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
32022
BioRAG: A RAG-LLM Framework for Biological Question Reasoning
C Wang, Q Long, X Meng, X Cai, C Wu, Z Meng, X Wang, Y Zhou
arXiv preprint arXiv:2408.01107, 2024
12024
Towards Graph Contrastive Learning: A Survey and Beyond
W Ju, Y Wang, Y Qin, Z Mao, Z Xiao, J Luo, J Yang, Y Gu, D Wang, ...
arXiv preprint arXiv:2405.11868, 2024
12024
Cell-Graph Compass: Modeling Single Cells with Graph Structure Foundation Model
C Fang, Z Hu, S Chang, Q Long, W Cui, W Liu, C Li, Y Liu, P Wang, ...
bioRxiv, 2024.06. 04.597354, 2024
12024
How do Large Language Models understand Genes and Cells
C Fang, Y Wang, Y Song, Q Long, W Lu, L Chen, P Wang, G Feng, ...
bioRxiv, 2024.03. 23.586383, 2024
12024
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