1、n making w/ all the information System 1 Intuitive System 2 Analytic 39 CogQA: Cognitive Graph for QA An iterative framework corresponding to dual process theory System 1 extract entities to build the cognitive graph generate semantic vectors for each node System 2 Do reasoning based on semantic vec
2、tors and graph Feed clues to System 1 to extract next-hop entities Question Quality caf Todd Phillips Gone in 60 seconds Old school Los Angeles Dominic Sena System 1 System 2 Cognitive Graph location featured in a number of Hollywood films, including Old School, Gone in 60 Seconds input clues predic
3、t 40 Cognitive Graph: DL + Dual Process Theory 1.M. Ding, C. Zhou, Q. Chen, H. Yang, and J. Tang. Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL19. ? System 1: implicit knowledge expansion System 2: explicit decision 41 Cognitive Graph: DL + Dual Process Theory 1.M. Ding, C. Zhou,
4、 Q. Chen, H. Yang, and J. Tang. Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL19. System 1: implicit knowledge expansion System 2: explicit decision 42 Cognitive Graph: Representation, Reasoning, and Decision ? 43 认知与推理 Trillion-scale common-sense knowledge graph Tim Berners Lee T
5、uring Award Winner Edward Feigenbaum Turing Award Winner * AI = Knowledge + Intelligence 1. J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. ArnetMiner: Extraction and Mining of Academic Social Networks. KDD08. pp.990-998. Big DataKnowledgeIntelligence 44 Related Publications Ming Ding, Chang
6、Zhou, Qibin Chen, Hongxia Yang, and Jie Tang. Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL19. Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, and Ming Ding. ProNE: Fast and Scalable Network Representation Learning. IJCAI19. Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zho
7、u and Jie Tang. Representation Learning for Attributed Multiplex Heterogeneous Network. KDD19. Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, and Kuansan Wang. OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. KDD19. Qibin Che
8、n, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou and Jie Tang. Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD19. Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, and Jie Tang. Large Scale Evolving Graphs with Burst Detection. IJCAI19. Yu Han, Jie Ta
9、ng, and Qian Chen. Network Embedding under Partial Monitoring for Evolving Networks. IJCAI19. Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, and Jie Tang. Large Scale Evolving Graphs with Burst Detection. IJCAI19. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, and Jie Tang.
10、NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW19. Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, and Jie Tang. DeepInf: Modeling Influence Locality in Large Social Networks. KDD18. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, and Jie Tang. Network
11、 Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM18. Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. KDD08. For more, please check here 45 Jie Tang, KEG, Tsinghua U Download all data
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