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Name: ChengjinXu
Type: User
Bio: Knowledge Graph, LLM, GNN; FinAI Researcher at IDEA Research; CS PhD from University of Bonn; BD and MD from Zhejiang University
Name: ChengjinXu
Type: User
Bio: Knowledge Graph, LLM, GNN; FinAI Researcher at IDEA Research; CS PhD from University of Bonn; BD and MD from Zhejiang University
The source code of ISWC2020 paper "Temporal Knowledge Graph completion based on time series Gaussian embedding " and COLING2020 paper "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation "
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Knowledge Graph,Question Answering System,基于知识图谱和向量检索的医疗诊断问答系统
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
README文件语法解读,即Github Flavored Markdown语法介绍
EMNLP2021-Time-aware Graph Neural Network for Entity Alignment betweenTemporal Knowledge Graphs
NAACL2021-Temporal Knowledge Graph Completion using a Linear TemporalRegularizer and Multivector Embeddings
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