DSPy: The framework for programming—not prompting—language models

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Awesome papers about unifying LLMs and KGs

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".

Codes for SHINE published in EMNLP 2021.

Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)

FSL-Mate: A collection of resources for few-shot learning (FSL).

Few-Shot Graph Learning for Molecular Property Prediction

A collection of AWESOME things about domian adaptation

A collection of important graph embedding, classification and representation learning papers with implementations.

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Must-read papers on neural relation extraction (NRE)

Reading list for research topics in multimodal machine learning

A curated list of awesome self-supervised methods

A curated list of resources for Learning with Noisy Labels

A PyTorch Library for Meta-learning Research

Representation-Learning-on-Heterogeneous-Graph

100+ Chinese Word Vectors 上百种预训练中文词向量

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Multi-Graph Convolutional Neural Networks

Graph Neural Network Library for PyTorch

Must-read papers on graph neural networks (GNN)

Must-read papers on network representation learning (NRL) / network embedding (NE)