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Python package built to ease deep learning on graph, on top of existing DL frameworks.
The official GitHub page for the survey paper "A Survey of Large Language Models".
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Chinese medical dialogue data 中文医疗对话数据集
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Software to implement GoT with a weviate vectorized database
The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"
Precision Medicine Knowledge Graph (PrimeKG)
Med-BERT, contextualized embedding model for structured EHR data
A customizable pipeline for data extraction from MIMIC-IV; now multimodal!
PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
GAMENet : Graph Augmented MEmory Networks for Recommending Medication Combination
Pre-training of Graph Augmented Transformers for Medication Recommendation
MedType: Improving Medical Entity Linking with Semantic Type Prediction
Code for BEHRT: Transformer for Electronic Health Records
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”
This is a Pytorch implementation of GraphLIME