Publications

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LLMs for graph reasoning

Wang Y, Dai X, Fan W, Ma Y. Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation

Dai, X., Qu, H., Shen, Y., Zhang, B., Wen, Q., Fan, W., … & Shan, C. (2024). How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension ICLR 2025.

Dai, X., Wen, Q., Shen, Y., Wen, H., Li, D., Tang, J., & Shan, C. (2024). Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path. arXiv preprint arXiv:2408.09529.

Deep Learning in Single-cell

Ouyang, B., Shan, C., Shen, S., Dai, X., Chen, Q., Su, X., … & Pang, Z. (2024). AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer. Nature Communications, 15(1), 7560.

Dai, X., Shan, C., Zheng, J., Li, X., & Li, D. (2023). Biological Factor Regulatory Neural Network. arXiv preprint arXiv:2304.04982.

Wen H, Tang W, Dai X, et al. CellPLM: Pre-training of Cell Language Model Beyond Single Cells ICLR 2024.

Tang W, Liu R, Wen H, Dai X, et al. A general single-cell analysis framework via conditional diffusion generative models. bioRxiv, 2023: 2023.10. 13.562243.