1. Overview
OAG is generated by linking two large academic graphs: Microsoft Academic Graph (MAG) and AMiner.
OAG is released under ODC-BY license. In mid 2017, we published OAG v1, which contains 166,192,182 papers from MAG and 154,771,162 papers from AMiner (see below) and generated 64,639,608 linking (matching) relations between the two graphs. It can be used as a unified large academic graph for studying citation network, paper content, and others, and can be also used to study the integration of multiple academic graphs.
From OAG 3, we publish the academic graph from AMiner.
- [Sep 2026] OAG v3.3 is available. Please check OAG 3.3 for details.
- [Feb 2025] OAG v3.2 is available. Please check OAG 3.2 for details.
- [Feb 2024] OAG v3.1 is available. Please check OAG 3.1 for details.
- [Nov 2023] OAG v3.0 is available. Please check OAG 3.0 for details.
- [Nov 2020] OAG v2.1 is available. Please check OAG 2.1 for details.
- [Jan 2019] OAG v2 is available now. Please check OAG 1.0 for details.
2. OAG V3.3 Data Statistics
Table1: Data Statistics
| Data set | Count |
|---|---|
| Affiliation | 331,779 |
| Venue | 95,811 |
| Person | 34,443,192 |
| Publication | 170,897,622 |
3. OAG V3.3 Data Schema
Table2: Affiliation Schema
| Field Name | Field Type | Description | Example |
|---|---|---|---|
| id | string/long | affiliation id | 136199984 |
| name | string | affiliation name | Harvard University |
Table3: Venue Schema
| Field Name | Field Type | Description | Example |
|---|---|---|---|
| id | string/long | venue id | 5bf574641c5a1dcdd96f817b |
| type | string | Journal/Conference | Journal |
| name | string | normalized venue name | nature |
Table4: Person Schema
| Field Name | Field Type | Description | Example |
|---|---|---|---|
| id | string/long | author id | 53f42f36dabfaedce54dcd0c |
| name | string | author name | Jiawei Han |
| org | string | author organization | Department of Computer Science, University of Illinois at Urbana-Champaign |
Table5: Publication Schema
| Field Name | Field Type | Description | Example |
|---|---|---|---|
| id | string/long | paper ID | 53e9ab9eb7602d970354a97e |
| title | string | paper title | Data mining: concepts and techniques |
| authors.name | string | author name | Jiawei Han |
| author.org | string | author affiliation | Department of Computer Science, University of Illinois at Urbana-Champaign |
| author.org_id | long | author affiliation id | 157725225 |
| author.id | string/long | author ID | 53f42f36dabfaedce54dcd0c |
| venue_id | string/long | paper venue ID | 53e17f5b20f7dfbc07e8ac6e |
| venue | string | paper venue name | Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial |
| year | int | published year | 2000 |
| keywords | list of strings | keywords | ["data mining", "structured data", "world wide web", "social network", "relational data"] |
| references | list of long | paper references | [4909282, 16018031, 16159250, 19838944] |
| n_citation | string | citation number | 40829 |
| doi | string | doi | 10.4114/ia.v10i29.873 |
| abstract | string | abstract | Our ability to generate... |
4. Downloads
- Affiliation
- Venue
- Person
- Publication
5. References
We kindly request that any published research that makes use of this data cites the following papers.
Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, and Kuansan Wang. OAG: Linking Entities across Large-Scale Heterogeneous Knowledge Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 (accepted).
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. In Proceedings of the Twenty-Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19). [PDF] [data] [code] [slides]
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2008). pp.990-998. [PDF] [Slides] [System] [API]
Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New York, NY, USA, 243-246.
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