Papers citing 'Graph Self-supervised Learning with Accurate Discrepancy Learning'

Title
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling Mengran Li Z. Zang Wenbin Xing Junzhou Chen Ronghui Zhang Jiebo Luo Stan Z. Li AI4CE 210 0 0 26 Nov 2025
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Xingbo Fu Zehong Wang Zihan Chen Jiazheng Li Yaochen Zhu Zhenyu Lei Cong Shen Yanfang Ye Chuxu Zhang Jundong Li AI4CE VLM 136 1 0 10 Jun 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy SpectraInternational Conference on Learning Representations (ICLR), 2025 Liang Wang Shaozhen Liu Yu Rong Deli Zhao Sihan Yang Shu Wu Shu Wu MedIm 276 9 0 22 Feb 2025
Equivariant Masked Position Prediction for Efficient Molecular RepresentationInternational Conference on Learning Representations (ICLR), 2025 Junyi An Chao Qu Yun-Fei Shi XinHao Liu Qianwei Tang Fenglei Cao Yuan Qi 228 1 0 12 Feb 2025
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property PredictionNeural Information Processing Systems (NeurIPS), 2024 Liang Wang Qiang Liu Shaozhen Liu Xin Sun Shu Wu Shu Wu 198 4 0 02 Nov 2024
Uncovering Capabilities of Model Pruning in Graph Contrastive LearningACM Multimedia (MM), 2024 Wu Junran Chen Xueyuan Li Shangzhe 181 2 0 27 Oct 2024
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and DynamicsKnowledge Discovery and Data Mining (KDD), 2024 Chang Liu Jingtao Ding Yiwen Song Yong Li AI4CE 125 7 0 19 Aug 2024
Learning Molecular Representation in a Cell Gang Liu Srijit Seal John Arevalo Zhenwen Liang Anne E Carpenter Meng Jiang Shantanu Singh 268 10 0 17 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Shubham Sharma Saumitra Mishra Yuying Xie Shucheng Zhou 280 5 0 04 Jun 2024
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting Minbo Ma Jilin Hu Christian S. Jensen Fei Teng Peng Han Zhiqiang Xu Tian-Jie Li AI4TS 126 11 0 27 Dec 2023
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Tianqianjin Lin Changlong Sun Xiaozhong Liu AI4CE 140 9 0 19 Dec 2023
Improving Self-supervised Molecular Representation Learning using Persistent HomologyNeural Information Processing Systems (NeurIPS), 2023 Yuankai Luo Lei Shi Veronika Thost SSL 215 9 0 29 Nov 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei Jin Hui Liu 129 2 0 20 Oct 2023
Motif-aware Attribute Masking for Molecular Graph Pre-trainingLOG IN (LOG IN), 2023 Eric Inae Gang Liu Meng Jiang AI4CE 239 18 0 08 Sep 2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal DistillationAAAI Conference on Artificial Intelligence (AAAI), 2023 Sungjun Cho Dae-Woong Jeong Sung Moon Ko Jinwoo Kim Sehui Han Seunghoon Hong Honglak Lee Moontae Lee AI4CE DiffM 163 1 0 08 Sep 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 165 15 0 14 Jun 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion ModelNeural Information Processing Systems (NeurIPS), 2023 Gang Liu Eric Inae Tong Zhao Jiaxin Xu Te Luo Meng Jiang DiffM 145 29 0 17 Mar 2023
A Systematic Survey of Chemical Pre-trained ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Jun Xia Yanqiao Zhu Yuanqi Du Stan Z.Li AI4CE 302 60 0 29 Oct 2022
Motif-Driven Contrastive Learning of Graph RepresentationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Shichang Zhang Ziniu Hu Arjun Subramonian Luke Huan SSL 203 11 0 23 Dec 2020