Showing 1–16 of 16 results
/ Date/ Name
Feb 10, 2025A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and ExplainerDec 14, 2024Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity OptimizationSep 9, 2024Learning to Model Graph Structural Information on MLPs via Graph Structure Self-ContrastingJul 20, 2024Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge DistillationMay 16, 2024Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt LearningMar 6, 2024A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-DistillationFeb 22, 2024MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein EmbeddingFeb 13, 2024PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction PredictionJun 9, 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPsMay 18, 2023Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation FrameworkDec 31, 2022A Survey on Protein Representation Learning: Retrospect and ProspectOct 5, 2022Automated Graph Self-supervised Learning via Multi-teacher Knowledge DistillationOct 5, 2022Teaching Yourself: Graph Self-Distillation on Neighborhood for Node ClassificationJun 21, 2021GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context PredictionMay 16, 2021Self-supervised Learning on Graphs: Contrastive, Generative,or PredictiveMar 16, 2020Neural Pose Transfer by Spatially Adaptive Instance Normalization