Exploring the potential of large language models (llms) in learning on graphs Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ... ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024 | 87 | 2024 |
Graph neural networks for multimodal single-cell data integration H Wen, J Ding, W Jin, Y Wang, Y Xie, J Tang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 41 | 2022 |
Amazon-m2: A multilingual multi-locale shopping session dataset for recommendation and text generation W Jin, H Mao, Z Li, H Jiang, C Luo, H Wen, H Han, H Lu, Z Wang, R Li, ... Advances in Neural Information Processing Systems 36, 2024 | 18 | 2024 |
Label-free node classification on graphs with large language models (llms) Z Chen, H Mao, H Wen, H Han, W Jin, H Zhang, H Liu, J Tang arXiv preprint arXiv:2310.04668, 2023 | 17 | 2023 |
Deep learning in single-cell analysis D Molho, J Ding, W Tang, Z Li, H Wen, Y Wang, J Venegas, W Jin, R Liu, ... ACM Transactions on Intelligent Systems and Technology 15 (3), 1-62, 2024 | 11 | 2024 |
Dance: A deep learning library and benchmark for single-cell analysis J Ding, H Wen, W Tang, R Liu, Z Li, J Venegas, R Su, D Molho, W Jin, ... bioRxiv, 2022.10. 19.512741, 2022 | 7 | 2022 |
Single-Cell Multimodal Prediction via Transformers W Tang, H Wen, R Liu, J Ding, W Jin, Y Xie, H Liu, J Tang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
Single cells are spatial tokens: Transformers for spatial transcriptomic data imputation H Wen, W Tang, W Jin, J Ding, R Liu, F Shi, Y Xie, J Tang arXiv preprint arXiv:2302.03038, 2023 | 3 | 2023 |
A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models W Tang, R Liu, H Wen, X Dai, J Ding, H Li, W Fan, Y Xie, J Tang bioRxiv, 2023.10. 13.562243, 2023 | 2 | 2023 |
DANCE: A deep learning library and benchmark platform for single-cell analysis J Ding, R Liu, H Wen, W Tang, Z Li, J Venegas, R Su, D Molho, W Jin, ... Genome Biology 25 (1), 72, 2024 | 1 | 2024 |
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective K Guo, H Wen, W Jin, Y Guo, J Tang, Y Chang arXiv preprint arXiv:2402.08228, 2024 | 1 | 2024 |
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology J Ding, J Venegas, Q Lu, Y Wang, L Wu, W Jin, H Wen, R Liu, W Tang, ... bioRxiv, 2023.04. 11.536333, 2023 | 1 | 2023 |
CellPLM: Pre-training of Cell Language Model Beyond Single Cells H Wen, W Tang, X Dai, J Ding, W Jin, Y Xie, J Tang bioRxiv, 2023.10. 03.560734, 2023 | 1 | 2023 |
ITERALIGN: Iterative constitutional alignment of large language models X Chen, H Wen, S Nag, C Luo, Q Yin, R Li, Z Li, W Wang arXiv preprint arXiv:2403.18341, 2024 | | 2024 |
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs) K Yang, Y Chu, T Darwin, A Han, H Li, H Wen, Y Copur-Gencturk, J Tang, ... arXiv preprint arXiv:2404.07960, 2024 | | 2024 |
Are Large Language Models (LLMs) Good Social Predictors? K Yang, H Li, H Wen, TQ Peng, J Tang, H Liu arXiv preprint arXiv:2402.12620, 2024 | | 2024 |
Copyright Protection in Generative AI: A Technical Perspective J Ren, H Xu, P He, Y Cui, S Zeng, J Zhang, H Wen, J Ding, H Liu, ... arXiv preprint arXiv:2402.02333, 2024 | | 2024 |
MEM-GAN: A Pseudo Membrane Generator for Single-cell Imaging in Fluorescent Microscopy Y Wang, J Ding, L Wu, A Wardhani, P Danaher, Q Lu, H Wen, W Tang, ... bioRxiv, 2023.11. 08.566343, 2023 | | 2023 |
Bi-channel Masked Graph Autoencoders for Spatially Resolved Single-cell Transcriptomics Data Imputation H Wen, W Jin, J Ding, C Xu, Y Xie, J Tang NeurIPS 2022 AI for Science: Progress and Promises, 2022 | | 2022 |
Inverse APPNP: Solution for OGB-LSC 2022 MAG240M H Li, H Han, H Wen, W Jin, F Shi, V Lee, J Tang | | |