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End-to-end multimodal learning on knowledge graphs has been left largely unaddressed.
Resource description framework (rdf) model and syntax specification
Ora Lassila, Ralph R Swick, et al · 1998
Earlier work this paper cites.
Weisfeiler-lehman graph kernels
Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn, and Karsten M Borgwardt · 2011
Earlier work this paper cites.
Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun · 2015
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
Earlier work this paper cites.
A collection of benchmark datasets for systematic evaluations of machine learning on the semantic web
Petar Ristoski, Gerben Klaas Dirk De Vries, and Heiko Paulheim · 2016
Earlier work this paper cites.
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
Earlier work this paper cites.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
Cited alongside, same era.
Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi · 2017
Cited alongside, same era.
The knowledge graph as the default data model for learning on heterogeneous knowledge
Xander Wilcke, Peter Bloem, and Victor de Boer · 2017
Cited alongside, same era.
Multimodal machine learning: A survey and taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency · 2018
Cited alongside, same era.
Embedding multimodal relational data for knowledge base completion
Pouya Pezeshkpour, Liyan Chen, and Sameer Singh · 2018
Cited alongside, same era.
Modeling relational data with graph convolutional networks
Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling · 2018
Later among the works it cites.
Deep learning for classification tasks on geospatial vector polygons
Rein van’t Veer, Peter Bloem, and Erwin Folmer · 2018
Later among the works it cites.
A survey on knowledge graph embeddings with literals: Which model links better literal-ly?
Genet Asefa Gesese, Russa Biswas, Mehwish Alam, and Harald Sack · 2019
Later among the works it cites.
Mmkg: Multi-modal knowledge graphs
Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, and David S Rosenblum · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
Later among the works it cites.
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