| 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 | 331 | 2021 |
| 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 | 95 | 2024 |
| 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 | 55 | 2020 |
| 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 | 34 | 2019 |
| 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 | 30 | 2021 |
| Polarized graph neural networks Z Fang, L Xu, G Song, Q Long, Y Zhang Proceedings of the ACM Web Conference 2022, 1404-1413, 2022 | 24 | 2022 |
| 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 | 19 | 2021 |
| Genecompass: Deciphering universal gene regulatory mechanisms with knowledge-informed cross-species foundation model X Yang, G Liu, G Feng, D Bu, P Wang, J Jiang, S Chen, Q Yang, Y Zhang, ... bioRxiv, 2023.09. 26.559542, 2023 | 17 | 2023 |
| 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 | 13 | 2020 |
| 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 | 9 | 2024 |
| 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 | 9 | 2021 |
| 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 | 5 | 2024 |
| 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 | 5 | 2020 |
| 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 | 4 | 2024 |
| 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 | 4 | 2021 |
| 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 | 3 | 2022 |
| 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 | 1 | 2024 |
| 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 | | 2024 |
| Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework W Cui, Q Long, M Xiao, X Wang, G Feng, X Li, P Wang, Y Zhou Briefings in Bioinformatics 25 (5), 2024 | | 2024 |
| COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing Y Li, Q Long, N Cao, S Liu, X Luo, F Zheng, Z Zhu, Z Ning, X Wang, ... arXiv preprint arXiv:2402.16424, 2024 | | 2024 |
