Telescope peering into the night sky

Microsoft Academic

설립: February 22, 2016

출판물

자료 보기:

- Heterogeneous Graph Transformer
  
  Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
  
  The 2020 Web Conference (WWW) | April 2020
  
  PDF 프로젝트
- Microsoft Academic Graph: when experts are not enough
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia
  
  Quantitative Science Studies | February 2020, 제 1 권(1): pp. 396-413
  
  https://doi.org/10.1162/qss_a_00021
  
  DOI Publication Publication 프로젝트
- A Review of Microsoft Academic Services for Science of Science Studies
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Darrin Eide, Yuxiao Dong, Junjie Qian, Anshul Kanakia, Alvin Chen, Rick Rogahn
  
  Frontiers in Big Data | December 2019, 제 2 권: pp. 45
  
  DOI Publication PDF Publication 프로젝트
- OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
  
  Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2019
  
  Publication 프로젝트
- ProNE: Fast and Scalable Network Representation Learning
  
  Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
  
  International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
  
  Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
  
  The Web Conference | June 2019
  
  Publication 프로젝트
- GOTO rankings considered helpful
  
  Emery Berger, Stephen M. Blackburn, Carla Brodley, H.V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Kuansan Wang, Lexing Xie
  
  Communications of the ACM | June 2019, 제 62 권(7): pp. 29
  
  DOI 프로젝트 프로젝트
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
  
  The Web Conference 2019 | May 2019
  
  Author's Version 다운로드 프로젝트 프로젝트
- DeepInf: Social Influence Prediction with Deep Learning
  
  Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2018
  
  Publication 프로젝트
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
  
  WSDM 2018, February 5–9, 2018, Marina Del Rey, CA, USA | February 2018
  
  Publication Publication 프로젝트
- metapath2vec: Scalable Representation Learning for Heterogeneous Networks
  
  Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
  
  Publication 프로젝트
- WSDM Cup 2016 – Entity Ranking Challenge
  
  Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli
  
  June 2016
  
  출판 출판 출판 프로젝트
- An Overview of Microsoft Academic Service (MAS) and Applications
  
  Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Kuansan Wang
  
  WWW - World Wide Web Consortium (W3C) | May 2015
  
  출판 출판 출판 프로젝트

- ProNE: Fast and Scalable Network Representation Learning
  
  Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
  
  International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Heterogeneous Graph Transformer
  
  Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
  
  The 2020 Web Conference (WWW) | April 2020
  
  PDF 프로젝트
- Microsoft Academic Graph: when experts are not enough
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia
  
  Quantitative Science Studies | February 2020, 제 1 권(1): pp. 396-413
  
  https://doi.org/10.1162/qss_a_00021
  
  DOI Publication Publication 프로젝트
- A Review of Microsoft Academic Services for Science of Science Studies
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Darrin Eide, Yuxiao Dong, Junjie Qian, Anshul Kanakia, Alvin Chen, Rick Rogahn
  
  Frontiers in Big Data | December 2019, 제 2 권: pp. 45
  
  DOI Publication PDF Publication 프로젝트
- ProNE: Fast and Scalable Network Representation Learning
  
  Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
  
  International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
  
  Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2019
  
  Publication 프로젝트
- A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
  
  Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
  
  The Web Conference | June 2019
  
  Publication 프로젝트
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
  
  The Web Conference 2019 | May 2019
  
  Author's Version 다운로드 프로젝트 프로젝트
- DeepInf: Social Influence Prediction with Deep Learning
  
  Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2018
  
  Publication 프로젝트
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
  
  WSDM 2018, February 5–9, 2018, Marina Del Rey, CA, USA | February 2018
  
  Publication Publication 프로젝트
- metapath2vec: Scalable Representation Learning for Heterogeneous Networks
  
  Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
  
  Publication 프로젝트
- An Overview of Microsoft Academic Service (MAS) and Applications
  
  Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Kuansan Wang
  
  WWW - World Wide Web Consortium (W3C) | May 2015
  
  출판 출판 출판 프로젝트
- Heterogeneous Graph Transformer
  
  Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
  
  The 2020 Web Conference (WWW) | April 2020
  
  PDF 프로젝트
- Microsoft Academic Graph: when experts are not enough
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia
  
  Quantitative Science Studies | February 2020, 제 1 권(1): pp. 396-413
  
  https://doi.org/10.1162/qss_a_00021
  
  DOI Publication Publication 프로젝트
- ProNE: Fast and Scalable Network Representation Learning
  
  Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
  
  International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
  
  Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2019
  
  Publication 프로젝트
- GOTO rankings considered helpful
  
  Emery Berger, Stephen M. Blackburn, Carla Brodley, H.V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Kuansan Wang, Lexing Xie
  
  Communications of the ACM | June 2019, 제 62 권(7): pp. 29
  
  DOI 프로젝트 프로젝트
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
  
  The Web Conference 2019 | May 2019
  
  Author's Version 다운로드 프로젝트 프로젝트
- DeepInf: Social Influence Prediction with Deep Learning
  
  Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2018
  
  Publication 프로젝트
- metapath2vec: Scalable Representation Learning for Heterogeneous Networks
  
  Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
  
  Publication 프로젝트
- An Overview of Microsoft Academic Service (MAS) and Applications
  
  Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Kuansan Wang
  
  WWW - World Wide Web Consortium (W3C) | May 2015
  
  출판 출판 출판 프로젝트
- Heterogeneous Graph Transformer
  
  Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
  
  The 2020 Web Conference (WWW) | April 2020
  
  PDF 프로젝트
- Microsoft Academic Graph: when experts are not enough
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia
  
  Quantitative Science Studies | February 2020, 제 1 권(1): pp. 396-413
  
  https://doi.org/10.1162/qss_a_00021
  
  DOI Publication Publication 프로젝트
- A Review of Microsoft Academic Services for Science of Science Studies
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Darrin Eide, Yuxiao Dong, Junjie Qian, Anshul Kanakia, Alvin Chen, Rick Rogahn
  
  Frontiers in Big Data | December 2019, 제 2 권: pp. 45
  
  DOI Publication PDF Publication 프로젝트
- ProNE: Fast and Scalable Network Representation Learning
  
  Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
  
  International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
  
  Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2019
  
  Publication 프로젝트
- A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
  
  Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
  
  The Web Conference | June 2019
  
  Publication 프로젝트
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
  
  WSDM 2018, February 5–9, 2018, Marina Del Rey, CA, USA | February 2018
  
  Publication Publication 프로젝트
- metapath2vec: Scalable Representation Learning for Heterogeneous Networks
  
  Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
  
  Publication 프로젝트
- WSDM Cup 2016 – Entity Ranking Challenge
  
  Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli
  
  June 2016
  
  출판 출판 출판 프로젝트
- An Overview of Microsoft Academic Service (MAS) and Applications
  
  Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Kuansan Wang
  
  WWW - World Wide Web Consortium (W3C) | May 2015
  
  출판 출판 출판 프로젝트
- Heterogeneous Graph Transformer
  
  Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
  
  The 2020 Web Conference (WWW) | April 2020
  
  PDF 프로젝트
- Microsoft Academic Graph: when experts are not enough
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia
  
  Quantitative Science Studies | February 2020, 제 1 권(1): pp. 396-413
  
  https://doi.org/10.1162/qss_a_00021
  
  DOI Publication Publication 프로젝트
- A Review of Microsoft Academic Services for Science of Science Studies
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Darrin Eide, Yuxiao Dong, Junjie Qian, Anshul Kanakia, Alvin Chen, Rick Rogahn
  
  Frontiers in Big Data | December 2019, 제 2 권: pp. 45
  
  DOI Publication PDF Publication 프로젝트
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
  
  WSDM 2018, February 5–9, 2018, Marina Del Rey, CA, USA | February 2018
  
  Publication Publication 프로젝트

- Heterogeneous Graph Transformer
  
  Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
  
  The 2020 Web Conference (WWW) | April 2020
  
  PDF 프로젝트
- ProNE: Fast and Scalable Network Representation Learning
  
  Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
  
  International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
  
  Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2019
  
  Publication 프로젝트
- A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
  
  Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
  
  The Web Conference | June 2019
  
  Publication 프로젝트
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
  
  The Web Conference 2019 | May 2019
  
  Author's Version 다운로드 프로젝트 프로젝트
- DeepInf: Social Influence Prediction with Deep Learning
  
  Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2018
  
  Publication 프로젝트
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  
  Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
  
  WSDM 2018, February 5–9, 2018, Marina Del Rey, CA, USA | February 2018
  
  Publication Publication 프로젝트
- metapath2vec: Scalable Representation Learning for Heterogeneous Networks
  
  Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2017
  
  Publication 프로젝트
- WSDM Cup 2016 – Entity Ranking Challenge
  
  Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli
  
  June 2016
  
  출판 출판 출판 프로젝트
- An Overview of Microsoft Academic Service (MAS) and Applications
  
  Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Kuansan Wang
  
  WWW - World Wide Web Consortium (W3C) | May 2015
  
  출판 출판 출판 프로젝트
- Microsoft Academic Graph: when experts are not enough
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia
  
  Quantitative Science Studies | February 2020, 제 1 권(1): pp. 396-413
  
  https://doi.org/10.1162/qss_a_00021
  
  DOI Publication Publication 프로젝트
- A Review of Microsoft Academic Services for Science of Science Studies
  
  Kuansan Wang, Iris Shen, Charles Huang, Chieh-Han Wu, Darrin Eide, Yuxiao Dong, Junjie Qian, Anshul Kanakia, Alvin Chen, Rick Rogahn
  
  Frontiers in Big Data | December 2019, 제 2 권: pp. 45
  
  DOI Publication PDF Publication 프로젝트
- GOTO rankings considered helpful
  
  Emery Berger, Stephen M. Blackburn, Carla Brodley, H.V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Kuansan Wang, Lexing Xie
  
  Communications of the ACM | June 2019, 제 62 권(7): pp. 29
  
  DOI 프로젝트 프로젝트

인원

Alvin Chen

Data Scientist II

더 보기

Darrin Eide

Principal Software Development Engineer, Microsoft Academic Services

더 보기

Rick Rogahn

Principal Software Engineering Lead

더 보기

Iris Shen

Principal Data Scientist

더 보기