Weigoss's repositories
CENET
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
GCN4KGC
The code of paper Rethinking Graph Convolutional Networks in Knowledge Graph Completion. Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu. WWW 2022.
KGC-Benchmark-Datasets
Knowledge Graph Completion Benchmark Datasets
kg-reeval
ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods
CyGNet
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
knowledge-graphs
A collection of research on knowledge graphs
OpenEA
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020
EAkit
Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.
Awesome-KGC
Some related projects and research about knowledge graph completion task
relation-extraction-with-active-learning
基于主动学习的实体关系抽取
joint_entrel_gcn
采用gcn实体和关系抽取
Chatbot_CN
基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
RDGCN
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Research
novel deep learning research works with PaddlePaddle
Military_KG
A Military Knowledge Graph Using Baidu Relation Extraction Baseline System
CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
BiGRU-CRF-with-Attention-for-NER
Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF
Relationship-extraction-master
通过BiGRU+注意力机制对关系进行自动抽取
deepke
基于深度学习的开源中文关系抽取框架
Entity-Relation-Extraction
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
people_relation_extract
结合BERT+GRU+ATT模型，对自己收集的人物关系数据进行模型训练，用于人物关系抽取。
smac
SMAC: The StarCraft Multi-Agent Challenge
StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
ALBERT
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations