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Knowledge Graph

Related Work (as per topic)

Knowledge Graph Construction (entity extraction)

  • StatSnowball: a statistical approach to extracting entity relationships, WWW 2009 (tool: StatSnowball)
  • Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion, KDD 2014 (tool: Knowledge Vault)
  • Building event-centric knowledge graphs from news, (Web Semantics: Science, Services and Agents on the World Wide Web) 2016
  • HDSKG: Harvesting domain specific knowledge graph from content of webpages. SANER 2017, (tool: HDSKG)

Knowledge Representation

  • DeepWalk: Online Learning of Social Representations, KDD 2014 (tool: DeepWalk)
  • RoboBrain: Large-Scale Knowledge Engine for Robots, arXiv 2015
  • Type-Constrained Representation Learning in Knowledge Graphs, ISWC 2015
  • Network Representation Learning with Rich Text Information, IJCAI 2015 (tool: TADW)
  • Grarep: Learning graph representations with global structural information, CIKM 2015 (tool: GraRep)
  • Representation Learning of Knowledge Graphs with Entity Descriptions, AAAI 2016
  • Deep Neural Networks for Learning Graph Representations, AAAI 2016 (tool: DNGR)
  • Representation Learning of Knowledge Graphs with Hierarchical Types, IJCAI 2016
  • Max-Margin DeepWalk: Discriminative Learning of Network Representation, IJCAI 2016
  • node2vec: Scalable Feature Learning for Networks, KDD 2016
  • TorusE: Knowledge Graph Embedding on a Lie Group, arXiv 2017
  • Inductive Representation Learning on Large Graphs, NIPS 2017 (tool: GraphSAGE)
  • metapath2vec: Scalable Representation Learning for Heterogeneous Networks, KDD 2017 (tool: metapath2vec)
  • HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning, CIKM 2017 (tool: Hin2Vec)
  • entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation, RecSys 2017 (tool: entity2rec)

Knowledge Clustering

  • Content Aggregation on Knowledge Bases using Graph Clustering

Knowledge Completion

  • Reasoning With Neural Tensor Networks for Knowledge Base Completion, NIPS 2013
  • Knowledge base completion via search-based question answering, WWW 2014
  • Knowledge Base Completion Using Embeddings and Rules, IJCAI 2015
  • Learning entity and relation embeddings for knowledge graph completion, AAAI 2015 (tool: TransR)
  • Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances, CIKM 2015

(Forensic) Security

  • Developing an Ontology for Cyber Security Knowledge Graphs, CISR 2012

  • Building and Using a Knowledge Graph to Combat Human Trafficking, ISWC 2015

Graph Embedding & Learning

  • Translating embeddings for modeling multi-relational data, NIPS 2013 (tool: TransE)
  • Knowledge graph embedding by translating on hyperplanes, AAAI 2014 (tool: TransH)
  • Learning entity and relation embeddings for knowledge graph completion, AAAI 2015 (tool: TransR)
  • A review of relational machine learning for knowledge graphs, Proceedings of the IEEE 2015
  • PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks, KDD 2015 (tool: PTE)
  • LINE: Large-scale information network embedding, WWW 2015 (tool: LINE)
  • TransG : A Generative Model for Knowledge Graph Embedding, arXiv 2015 (tool: TransG)
  • Holographic Embeddings of Knowledge Graphs, AAAI 2016 (tool: HoIE)
  • Graph Embedding Techniques, Applications, and Performance: A Survey, arXiv 2017
  • Enhancing Knowledge Graph Embedding with Probabilistic Negative Saholographmpling, WWW (Companion) 2017
  • Learning Community Embedding with Community Detection and Node Embedding on Graphs, CIKM 2017 (tool: ComE)
  • ICE: Item Concept Embedding via Textual Information, SIGIR 2017 (tool: ICE)
  • Fast Linear Model for Knowledge Graph Embeddings, arXiv 2017
  • TorusE: Knowledge Graph Embedding on a Lie Group, arXiv 2017
  • A Survey on Network Embedding, arXiv 2017

Graph Reasoning (Question Answering)

  • Question Answering with Subgraph Embeddings, arXiv 2014
  • Question Answering over Freebase with Multi-Column Convolutional Neural Networks, ACL IJCNLP 2015
  • Open Domain Question Answering via Semantic Enrichment, WWW 2015
  • Reading and Reasoning with Knowledge Graphs, PhD Dissertation 2015 (http://www.cs.cmu.edu/~mg1/thesis.pdf)
  • DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning, arXiv 2017 (tool: DeppPath)
  • Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs, arXiv 2017
  • Variational Reasoning for Question Answering with Knowledge Graph, arXiv 2017
  • Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering, Computer Science (book) 2017

Dynamic Knowledge Graph

  • Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs, ICML 2018 (tool: Know-Evolve)
  • Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings, ACL 2018
  • Structural Deep Embedding for Hyper-Networks, AAAI 2018
  • DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks, AAAI 2018 (tool: DepthLGP)
  • The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process, NIPS 2017

Graph Database & Tools (https://en.wikipedia.org/wiki/Graph_database)

Tutorials