Showing 1–20 of 29 results
/ Date/ Name
Feb 16, 2022TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug DiscoveryJun 13, 2021Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link PredictionMar 11, 2022Protein Representation Learning by Geometric Structure PretrainingFeb 7, 2024Structure-Informed Protein Language ModelFeb 10, 2024ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function AnnotationMay 16, 2022Neural-Symbolic Models for Logical Queries on Knowledge GraphsMar 11, 2023A Systematic Study of Joint Representation Learning on Protein Sequences and StructuresJan 28, 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory PredictionDec 2, 2024Multi-Scale Representation Learning for Protein Fitness PredictionFeb 16, 2024Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable SimulationsNov 30, 2023PDB-Struct: A Comprehensive Benchmark for Structure-based Protein DesignJun 5, 2022PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence UnderstandingFeb 6, 2021Opinion Dynamics Incorporating Higher-Order InteractionsJul 13, 2025La-Proteina: Atomistic Protein Generation via Partially Latent Flow MatchingFeb 23, 2026PerturbDiff: Functional Diffusion for Single-Cell Perturbation ModelingJan 21, 2021Coherence Scaling of Noisy Second-Order Scale-Free Consensus NetworksMar 26, 2022A Roadmap for Big ModelAug 8, 2022Effects of Stubbornness on Opinion DynamicsDec 15, 2024Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and OptimizationApr 2, 2026Behavior and Sublinear Algorithm for Opinion Disagreement on Noisy Social Networks