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Acceptance rates for the major AI conferences
[IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
Code and dataset for EMNLP23 Findings paper "In-context Learning for Few-shot Multimodal Named Entity Recognition"
Named Entity Recognition, Entity Linking, and more
Code for the paper "A Confidence-based Partial Label Learning model for Crowd-Annotated Named Entity Recognition"
Preprocessed Datasets for our Multimodal NER paper
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Protein-Protein Interaction prediction using a deep RNN-based neural network architecture.
Computes a molecular graph for protein structures.
Graph Theory Applied to Biological Network Alignment. Motivated by Professor Hayes.
A PPI Network Alignment Method for Identifying Conserved Protein Complexes across Multiple Species
Embeddings to Network Alignment - align biological networks between two species
Active network alignment: a matching-based approach
Simulating Annealing Network Aligner
NetGO scoring for sets of (sets of) proteins, eg as exist in many-to-many or multiple network alignments
MAPPIN (Multiple Alignment for Protein Protein Interactions Networks) a global many-to-many alignment of multiple PPINs from different species.
Protein-protein interaction network alignment
A fast approach to global alignment of protein-protein interaction networks
Solving virus-host protein-protein interaction network allignment via Integer Linear Programming (ILP)