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Jiabin Tang
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Graphgpt: Graph instruction tuning for large language models
J Tang, Y Yang, W Wei, L Shi, L Su, S Cheng, D Yin, C Huang
arXiv preprint arXiv:2310.13023, 2023
492023
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
462024
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
142022
Urbangpt: Spatio-temporal large language models
Z Li, L Xia, J Tang, Y Xu, L Shi, L Xia, D Yin, C Huang
arXiv preprint arXiv:2403.00813, 2024
72024
HiGPT: Heterogeneous Graph Language Model
J Tang, Y Yang, W Wei, L Shi, L Xia, D Yin, C Huang
arXiv preprint arXiv:2402.16024, 2024
42024
Spatio-temporal meta contrastive learning
J Tang, L Xia, J Hu, C Huang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
42023
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
22024
Explainable Spatio-Temporal Graph Neural Networks
J Tang, L Xia, C Huang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
22023
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
2024
A Survey of Large Language Models for Graphs
X Ren, J Tang, D Yin, N Chawla, C Huang
arXiv preprint arXiv:2405.08011, 2024
2024
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Articles 1–10