Multimodal Knowledge Graph for Deep Learning Papers and Code
Author:
Affiliation:
1. Siemens Corporate Technology, Princeton, NJ, USA
2. University of California, Irvine, Irvine, CA, USA
Funder
Defense Advanced Research Projects Agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3340531.3417439
Reference10 articles.
1. Miltiadis Allamanis Marc Brockschmidt and Mahmoud Khademi. 2017. Learning to Represent Programs with Graphs. arxiv: cs.LG/1711.00740 Miltiadis Allamanis Marc Brockschmidt and Mahmoud Khademi. 2017. Learning to Represent Programs with Graphs. arxiv: cs.LG/1711.00740
2. Waleed Ammar Dirk Groeneveld Chandra Bhagavatula Iz Beltagy Miles Crawford Doug Downey Jason Dunkelberger Ahmed Elgohary Sergey Feldman Vu Ha et almbox. 2018. Construction of the literature graph in semantic scholar. arXiv preprint arXiv:1805.02262 (2018). Waleed Ammar Dirk Groeneveld Chandra Bhagavatula Iz Beltagy Miles Crawford Doug Downey Jason Dunkelberger Ahmed Elgohary Sergey Feldman Vu Ha et almbox. 2018. Construction of the literature graph in semantic scholar. arXiv preprint arXiv:1805.02262 (2018).
3. Yi Luan Luheng He Mari Ostendorf and Hannaneh Hajishirzi. 2018. Multi-task identification of entities relations and coreference for scientific knowledge graph construction. arXiv preprint arXiv:1808.09602 (2018). Yi Luan Luheng He Mari Ostendorf and Hannaneh Hajishirzi. 2018. Multi-task identification of entities relations and coreference for scientific knowledge graph construction. arXiv preprint arXiv:1808.09602 (2018).
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