Multimodal Knowledge Graph for Deep Learning Papers and Code.

Doheon Lee|Amar Viswanathan Kannan|Luonan Chen|Dmitriy Fradkin|Min Song|Ioannis Akrotirianakis|Shih-Yuan Yu|Hua Xu|Tugba Kulahcioglu|Arquimedes Canedo|Aditi Roy|Hua Xu|Shih-Yuan Yu|Arnav V. Malawade|Mohammad Abdullah Al Faruque


Anthology ID:DBLP:conf/cikm/KannanFAKCRYMF20
Volume:CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
Year:2020
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3417-3420
URL:https://doi.org/10.1145/3340531.3417439
DOI:https://doi.org/10.1145/3340531.3417439
DBLP:conf/cikm/KannanFAKCRYMF20
BibTeX:
@inproceedings{lee-2020-multimodal, author = {Doheon Lee and Amar Viswanathan Kannan and Luonan Chen and Dmitriy Fradkin and Min Song and Ioannis Akrotirianakis and Shih-Yuan Yu and Hua Xu and Tugba Kulahcioglu and Arquimedes Canedo and Aditi Roy and Hua Xu and Shih-Yuan Yu and Arnav V. Malawade and Mohammad Abdullah Al Faruque}, editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudr\'{e}-Mauroux}, title = {{Multimodal Knowledge Graph for Deep Learning Papers and Code}}, booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}}, pages = {3417--3420}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3340531.3417439}, doi = {https://doi.org/10.1145/3340531.3417439} }