awesome-knowledge-graph
整理知识图谱相关学习资料
https://github.com/husthuke/awesome-knowledge-graph
Last synced: 16 days ago
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会议交流及讲座
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图谱及数据集
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工具
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推广技术文章
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2017
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2018
- 张伟博士：阿里巴巴百亿级别的三元组知识图谱掌舵者
- 知识图谱在互联网金融行业的应用
- 上交大发布知识图谱AceKG，超1亿实体，近100G数据量
- 知识图谱数据构建的“硬骨头”，阿里工程师如何拿下？
- 这是一份通俗易懂的知识图谱技术与应用指南
- 一文揭秘！自底向上构建知识图谱全过程
- 健康知识图谱，阿里工程师如何实现？
- 为电商而生的知识图谱，如何感应用户需求？
- 肖仰华谈知识图谱：知识将比数据更重要，得知识者得天下
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 快手结合知识图谱进行多模态内容理解
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 美团大脑：知识图谱的建模方法及其应用
- 美团餐饮娱乐知识图谱——美团大脑揭秘
- 人力资源知识图谱搭建及应用
- 基于概念知识图谱的短文本理解——王仲远
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 知识图谱数据构建的“硬骨头”，阿里工程师如何拿下？
- 为电商而生的知识图谱，如何感应用户需求？
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 腾讯互娱刘伟：知识图谱让AI更有学识
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2019
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2020
- 基于知识图谱的语义理解技术及应用
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 华为开发者大会 HDC.Cloud 硬核技术解读：知识图谱构建流程及方法
- 腾讯云知识图谱技术与应用实践之路
- 知识图谱在小米的落地与挑战
- 构建行业知识图谱切勿操之过急，这里有三大前提条件
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
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机构及人物
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理论及论文
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其他扩展
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推荐系统
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知识应用
- Commonsense Knowledge Aware Conversation Generation with Graph Attention (IJCAI 2018)
- Augmenting End-to-End Dialogue Systems with Commonsense Knowledge(2018)
- Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset
- Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
- Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset
- Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
- Augmenting End-to-End Dialogue Systems with Commonsense Knowledge(2018)
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知识建模
- A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances (ACL2017) - a关系的抽取和基于is-a关系的本体构建。]
- AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types(KDD 2020)
- A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances (ACL2017) - a关系的抽取和基于is-a关系的本体构建。]
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知识获取
- Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
- Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
- End-to-End Neural Entity Linking (2018)
- Zero-shot Entity Linking with Efficient Long Range Sequence Modeling (2020)
- Using Type Information to Improve Entity Coreference Resolution
- Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
- Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
- Zero-shot Entity Linking with Efficient Long Range Sequence Modeling (2020)
- Using Type Information to Improve Entity Coreference Resolution
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知识计算
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding(NeurIPS 2020)
- Holographic embeddings of knowledge graphs
- Context-dependent knowledge graph embedding. EMNLP 2015. Luo, Yuanfei and Wang, Quan and Wang, Bin and Guo, Li.
- GAKE: graph aware knowledge embedding. COLING 2016. Feng, Jun and Huang, Minlie and Yang, Yang and Zhu, Xiaoyan.
- KBGAN: Adversarial Learning for Knowledge Graph Embeddings. Cai, Liwei, and William Yang Wang.(NAACL 2018)
- Bootstrapping Entity Alignment with Knowledge Graph Embedding. Zequn Sun, Wei Hu, Qingheng Zhang and Yuzhong Qu.(IJCAI 2018)
- RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space(ICLR 2019)
- Quaternion Knowledge Graph Embeddings(2019)
- Knowledge Graph Embeddings and Explainable AI(2020)
- Reasoning on Knowledge Graphs with Debate Dynamics
- Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge(2016)
- Differentiable Learning of Logical Rules for Knowledge Base Reasoning.(2017)
- Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings(ICLR 2020)
- Neural-Symbolic Reasoning on Knowledge Graphs(2020)
- Differentiable Reasoning on Large Knowledge Bases and Natural Language
- Diachronic Embedding for Temporal Knowledge Graph Completion
- Commonsense Knowledge Base Completion with Structural and Semantic Context
- KG-BERT: BERT for Knowledge Graph Completion
- Intra-document Coreference Resolution: The state of the art (2007)
- 指代消解综述 (2010)
- Higher-order Coreference Resolution with Coarse-to-fine Inference (ACL2018)
- BERT for Coreference Resolution: Baselines and Analysis (2019)
- Deep Reinforcement Learning for Mention-Ranking Coreference Models (ACL2016)
- RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space(ICLR 2019)
- Quaternion Knowledge Graph Embeddings(2019)
- Knowledge Graph Embeddings and Explainable AI(2020)
- Reasoning on Knowledge Graphs with Debate Dynamics
- Neural-Symbolic Reasoning on Knowledge Graphs(2020)
- Differentiable Reasoning on Large Knowledge Bases and Natural Language
- Commonsense Knowledge Base Completion with Structural and Semantic Context
- KG-BERT: BERT for Knowledge Graph Completion
- BERT for Coreference Resolution: Baselines and Analysis (2019)
- KBGAN: Adversarial Learning for Knowledge Graph Embeddings. Cai, Liwei, and William Yang Wang.(NAACL 2018)
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding(NeurIPS 2020)
- Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge(2016)
- Differentiable Learning of Logical Rules for Knowledge Base Reasoning.(2017)
- Diachronic Embedding for Temporal Knowledge Graph Completion
- Context-dependent knowledge graph embedding. EMNLP 2015. Luo, Yuanfei and Wang, Quan and Wang, Bin and Guo, Li.
- GAKE: graph aware knowledge embedding. COLING 2016. Feng, Jun and Huang, Minlie and Yang, Yang and Zhu, Xiaoyan.
- Higher-order Coreference Resolution with Coarse-to-fine Inference (ACL2018)
- Deep Reinforcement Learning for Mention-Ranking Coreference Models (ACL2016)
- 指代消解综述 (2010)
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综述综合
- A Survey on Knowledge Graphs: Representation, Acquisition and Applications (2020)
- Knowledge Graphs (2020)
- ERNIE: Enhanced Representation through Knowledge Integration(2019)
- ERNIE: Enhanced Language Representation with Informative Entities(2019) - Encoder新设计的模块，在该模块中也采用多头注意力机制之后融合编码在分别输出到下一层。]
- Latent Relation Language Models(2019)
- K-BERT: Enabling Language Representation with Knowledge Graph
- KG-BERT: BERT for Knowledge Graph Completion(2019) - >t,h,r,t->{0,1}的任务特点设计出两个fine-tuning任务。]
- Enriching BERT with Knowledge Graph Embeddings for Document Classification(2019)
- SENSEMBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation
- Inducing Relational Knowledge from BERT
- Integrating Graph Contextualized Knowledge into Pre-trained Language Models
- K-ADAPTER- Infusing Knowledge into Pre-Trained Models with Adapters
- Knowledge Enhanced Contextual Word Representations (EMNLP 2019)
- Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model (ICLR 2020)
- Language Models as Knowledge Bases?
- A Frame-based Sentence Representation for Machine Reading Comprehension (ACL 2020)
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Programming Languages
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