lingzhiwisemed

lingzhiwisemed's Stars

• THUDM/CogKR

  Source code and dataset for paper "Cognitive Knowledge Graph Reasoning for One-shot Relational Learning"

  Language:Python7117

• lvqiujie/Meta-GAT

  Language:Python182

• pldlgb/MetaSD

  Language:Python7

• Kent0n-Li/ChatDoctor

  Language:Python3.5k405

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.5k8.1k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70.2k14.7k

• floodsung/Meta-Learning-Papers

  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

  2.6k475

• GKNL/SMiLE

  [EMNLP 2022 Findings] SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

  Language:Python212

• bdi-lab/BiVE

  Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)

  Language:Python2620

• AnselCmy/MetaR

  Source code for the EMNLP 2019 paper "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs"

  Language:Python11219

• zhangjiatao/Confidence-Knowledge-Graph

  A toolkit to give each triple in knowledge graph a confidence score based on CKRL.

  Language:Python6

• AstraZeneca/kgem-in-drug-discovery

  Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)

  Language:Python326

• wangbo9719/StAR_KGC

  Language:Python8310

• ttrouill/complex

  Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

  Language:Python32283

• thunlp/KB2E

  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

  Language:C++1.4k449

• tsinghua-fib-lab/GNN-Recommender-Systems

  An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

  993139

• RUCKBReasoning/P-INT

  Language:Python132

• snap-stanford/csr

  Language:Python338

• Filco306/challenging-structural-assumptions

  Repository for the code for the paper "Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion" published at LREC 2022.

  Language:Python4

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.6k3.7k

• Sujit-O/pykg2vec

  Python library for knowledge graph embedding and representation learning.

  Language:Python611111

• chuxuzhang/AAAI2020_FSRL

  code of FSRL

  Language:Python4512

• HKUST-KnowComp/LMPNN

  Logical Message Passing Networks with One-hop Inference in Atomic Formulas (ICLR 2023)

  Language:Python153

• ThilinaRajapakse/simpletransformers

  Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

  Language:Python4.1k723

• fo40225/tensorflow-windows-wheel

  Tensorflow prebuilt binary for Windows

  Language:Python3.7k1.5k

• keras-team/keras-contrib

  Keras community contributions

  Language:Python1.6k651

• percent4/keras_bert_sequence_labeling

  本项目采用Keras和Keras-bert实现中文序列标注，对BERT进行微调，并在多个命名实体识别数据集上进行测试。

  Language:Python4714

• WILAB-HIT/Resources

  Language:Batchfile9039

• sanyabt/np-kg

  NP-KG: Knowledge Graph Framework for Natural Product-Drug Interactions

  Language:Jupyter Notebook10

• HisAnteater2/I-RGCN_DGL

  DGL Implementation of the I-RGCN Model, introduced in "Few-shot Link prediction via Graph Neural Networks for COVID-19 Drug-Repurposing."

  Language:Jupyter Notebook5