Heterogeneous Graph Transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
The 2020 Web Conference (WWW) | April 2020
Microsoft Academic
成立时间：February 22, 2016
论文与出版物
按年份分类的论文与出版物
-
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, 第 1 卷(1): pp. 396-413
https://doi.org/10.1162/qss_a_00021
-
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, 第 2 卷: pp. 45
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
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
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
The Web Conference | June 2019
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, 第 62 卷(7): pp. 29
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
-
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
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
-
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
-
WSDM Cup 2016 – Entity Ranking Challenge
Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli
June 2016
-
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
按研究领域分类的论文与出版物
-
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
-
Heterogeneous Graph Transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
The 2020 Web Conference (WWW) | April 2020
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, 第 1 卷(1): pp. 396-413
https://doi.org/10.1162/qss_a_00021
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, 第 2 卷: pp. 45
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
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
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
The Web Conference | June 2019
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
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
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
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
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
-
Heterogeneous Graph Transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
The 2020 Web Conference (WWW) | April 2020
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, 第 1 卷(1): pp. 396-413
https://doi.org/10.1162/qss_a_00021
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
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
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, 第 62 卷(7): pp. 29
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
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
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
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
-
Heterogeneous Graph Transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
The 2020 Web Conference (WWW) | April 2020
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, 第 1 卷(1): pp. 396-413
https://doi.org/10.1162/qss_a_00021
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, 第 2 卷: pp. 45
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
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
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
The Web Conference | June 2019
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
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
WSDM Cup 2016 – Entity Ranking Challenge
Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli
June 2016
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
-
Heterogeneous Graph Transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
The 2020 Web Conference (WWW) | April 2020
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, 第 1 卷(1): pp. 396-413
https://doi.org/10.1162/qss_a_00021
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, 第 2 卷: pp. 45
-
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
按类型分类的论文与出版物
-
Heterogeneous Graph Transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
The 2020 Web Conference (WWW) | April 2020
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
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
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
Anshul Kanakia, Iris Shen, Darrin Eide, Kuansan Wang
The Web Conference | June 2019
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
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
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
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
WSDM Cup 2016 – Entity Ranking Challenge
Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli
June 2016
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
-
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, 第 1 卷(1): pp. 396-413
https://doi.org/10.1162/qss_a_00021
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, 第 2 卷: pp. 45
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, 第 62 卷(7): pp. 29
人员
Alvin Chen
Data Scientist II
Darrin Eide
Principal Software Development Engineer, Microsoft Academic Services
Rick Rogahn
Principal Software Engineering Lead
Iris Shen
Principal Data Scientist