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Jiabin Tang
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Llmrec: Large language models with graph augmentation for recommendation
W Wei, X Ren, J Tang, Q Wang, L Su, S Cheng, J Wang, D Yin, C Huang
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
1022024
Graphgpt: Graph instruction tuning for large language models
J Tang, Y Yang, W Wei, L Shi, L Su, S Cheng, D Yin, C Huang
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
892024
Urbangpt: Spatio-temporal large language models
Z Li, L Xia, J Tang, Y Xu, L Shi, L Xia, D Yin, C Huang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
242024
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
J Tang, T Qian, S Liu, S Du, J Hu, T Li
International Joint Conference on Neural Networks (IJCNN) 2022, 2022
152022
Higpt: Heterogeneous graph language model
J Tang, Y Yang, W Wei, L Shi, L Xia, D Yin, C Huang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
122024
Explainable Spatio-Temporal Graph Neural Networks
J Tang, L Xia, C Huang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
122023
Spatio-temporal meta contrastive learning
J Tang, L Xia, J Hu, C Huang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
82023
A survey of large language models for graphs
X Ren, J Tang, D Yin, N Chawla, C Huang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
72024
Promptmm: Multi-modal knowledge distillation for recommendation with prompt-tuning
W Wei, J Tang, L Xia, Y Jiang, C Huang
Proceedings of the ACM on Web Conference 2024, 3217-3228, 2024
62024
Large Language Models for Graphs: Progresses and Directions
C Huang, X Ren, J Tang, D Yin, N Chawla
Companion Proceedings of the ACM on Web Conference 2024, 1284-1287, 2024
22024
EasyST: A Simple Framework for Spatio-Temporal Prediction
J Tang, W Wei, L Xia, C Huang
arXiv preprint arXiv:2409.06748, 2024
2024
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Articles 1–11