# 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) + Neo4j [https://neo4j.com] + DataStax [https://en.wikipedia.org/wiki/Graph_database] + Knowledge graph embeddings [https://github.com/mana-ysh/knowledge-graph-embeddings] + Unigraph [https://unigraph.io] + OpenIE: Open Information Extraction [https://nlp.stanford.edu/software/openie.html] ## Tutorials + https://googleblog.blogspot.sg/2012/05/introducing-knowledge-graph-things-not.html + https://github.com/chihming/awesome-network-embedding + http://knowledgegraph.info/ + https://markorodriguez.com/2011/02/23/knowledge-representation-and-reasoning-with-graph-databases/