| How powerful are k-hop message passing graph neural networks J Feng, Y Chen, F Li, A Sarkar, M Zhang Advances in Neural Information Processing Systems 35, 4776-4790, 2022 | 72 | 2022 |
| Predicting tumor cell response to synergistic drug combinations using a novel simplified deep learning model H Zhang, J Feng, A Zeng, P Payne, F Li AMIA Annual Symposium Proceedings 2020, 1364, 2020 | 21 | 2020 |
| Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data J Feng, J Lee, ZA Vesoulis, F Li npj Digital Medicine 4 (1), 108, 2021 | 15 | 2021 |
| Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model J Feng, H Zhang, F Li BMC bioinformatics 22, 1-13, 2021 | 12 | 2021 |
| One for all: Towards training one graph model for all classification tasks H Liu, J Feng, L Kong, N Liang, D Tao, Y Chen, M Zhang arXiv preprint arXiv:2310.00149, 2023 | 10 | 2023 |
| Determination of the degree of substitution of cationic guar gum by headspace-based gas chromatography during its synthesis X Wan, C Guo, J Feng, T Yu, XS Chai, G Chen, WQ Xie Journal of Agricultural and Food Chemistry 65 (32), 7012-7016, 2017 | 10 | 2017 |
| Signaling interaction link prediction using deep graph neural networks integrating protein-protein interactions and omics data J Feng, A Zeng, Y Chen, P Payne, F Li 2021 International Conference on Intelligent Biology and Medicine (ICIBM), 2020 | 5 | 2020 |
| A Visual Active Search Framework for Geospatial Exploration A Sarkar, M Lanier, S Alfeld, R Jiarui Feng, Garnett, N Jacobs, ... arXiv preprint arXiv:2211.15788, 2022 | 3 | 2022 |
| Reward Delay Attacks on Deep Reinforcement Learning A Sarkar, J Feng, Y Vorobeychik, C Gill, N Zhang 2022 Conference on Decision and Game Theory for Security (GameSec) (arXiv …, 2022 | 3 | 2022 |
| Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power J Zhou, J Feng, X Wang, M Zhang Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| MAG-GNN: Reinforcement Learning Boosted Graph Neural Network L Kong, J Feng, H Liu, D Tao, Y Chen, M Zhang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data J Feng, SP Goedegebuure, A Zeng, Y Bi, T Wang, P Payne, L Ding, ... PLoS computational biology 20 (1), e1011785, 2024 | 1 | 2024 |
| Can Graph Learning Improve Task Planning? X Wu, Y Shen, C Shan, K Song, S Wang, B Zhang, J Feng, H Cheng, ... arXiv preprint arXiv:2405.19119, 2024 | | 2024 |
| PathFinder: a novel graph transformer model to infer multi-cell intra-and inter-cellular signaling pathways and communications J Feng, H Song, M Province, G Li, PRO Payne, Y Chen, F Li Frontiers in Cellular Neuroscience 18, 1369242, 2024 | | 2024 |
| Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks H Liu, J Feng, L Kong, D Tao, Y Chen, M Zhang Proceedings of the ACM on Web Conference 2024, 365-376, 2024 | | 2024 |
| Deep learning models to predict primary open‐angle glaucoma R Zhou, J Philip Miller, M Gordon, M Kass, M Lin, Y Peng, F Li, J Feng, ... Stat 13 (1), e649, 2024 | | 2024 |
| Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman J Feng, L Kong, H Liu, D Tao, F Li, M Zhang, Y Chen arXiv preprint arXiv:2306.03266, 2023 | | 2023 |
| Decipher macrophage-fibroblast-cardiomyocyte signaling interactions associated with heart failure using deep graph neural network models and single-cell RNA-seq data W Li, J Feng, P Payne, Y Chen, F Li bioRxiv, 2022.11. 02.514928, 2022 | | 2022 |
| Multi-omics data integration via novel interpretable k-hop graph attention network for signaling network inference R Yuan, J Feng, H Zhang, Y Chen, P Payne, F Li bioRxiv, 2022.09. 16.508281, 2022 | | 2022 |
Fuhai LiWashington University in St. LouisVerified email at wustl.edu
