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Bioinformatics
239 directly classified papers
Papers per year
2006: 4
2007: 3
2008: 6
2009: 1
2010: 5
2011: 1
2012: 1
2013: 2
2014: 2
2015: 1
2016: 1
2017: 5
2018: 5
2019: 19
2020: 15
2021: 18
2022: 30
2023: 27
2024: 47
2025: 46
Papers
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
CVPR 2024
Generalized Protein Pocket Generation with Prior-Informed Flow Matching
NIPS 2024
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
EMNLP 2024
string2string: A Modern Python Library for String-to-String Algorithms
ACL 2024
Repurformer: Transformers for Repurposing-Aware Molecule Generation
ACL 2024
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
NIPS 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
NIPS 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
AAAI 2024
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
AAAI 2024
L+M-24: Building a Dataset for Language+Molecules @ ACL 2024
ACL 2024
MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract)
AAAI 2024
Vector Field Oriented Diffusion Model for Crystal Material Generation
AAAI 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NIPS 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
AAAI 2024
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
AAAI 2024
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
ACL 2024
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues
AAAI 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NIPS 2024
MP-RNA: Unleashing Multi-species RNA Foundation Model via Calibrated Secondary Structure Prediction
EMNLP 2024
AI for Science in the Era of Large Language Models
EMNLP 2024
ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining
ACL 2024
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
NIPS 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
NIPS 2024
RGFN: Synthesizable Molecular Generation Using GFlowNets
NIPS 2024
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