MGitHubL/Awesome-Temporal-Graph-Learning
Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
MIT
Stargazers
- adlhebrahimi
- andiconda
- AnryYang
- AntonioLongaFondazione Bruno Kesler
- Auroranight
- BrentKylling
- ChaoPeng13china
- ClearloveyuanTokyo Institute of Technology
- Dedalus9
- Gaurav17Joshi
- guolalala
- jason2133Korea University
- Jayadratha
- JeffCarpenterCanada
- jhong-taoNortheast Normal University
- kthrn22University of Illinois Urbana-Champaign
- LeeKLTWAiello.ai
- lsqs1129China University of Petroleum (East China)
- MB-Presents
- MMAMAR
- MuyiiiiiTongji University
- nairouz
- nelsonaloysio@hpclab @unipisa
- PPEXCEPED
- Roiko97
- SalvishGoomaneeCollège de France & CNRS
- Shakib-IOConcordia University
- shaomh225
- ShiyinTan
- UCRajkumar
- Vic-GoodLuckBeihang University
- wangling1820
- xinformaticsUniversity of Arizona
- Xuehuang123NUDT
- yueliu1999National University of Singapore
- zyxxxx2Shenzhen, China