Deep graph learning: Foundations, advances and applications
Many real data come in the form of non-grid objects, ie graphs, from social networks to
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
Deep Graph Learning: Foundations, Advances and Applications
Y Rong, T Xu, J Huang, W Huang… - 26th ACM SIGKDD …, 2020 - researchwith.njit.edu
Many real data come in the form of non-grid objects, ie graphs, from social networks to
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
Deep Graph Learning: Foundations, Advances and Applications
Y Rong, T Xu, J Huang, W Huang… - … Discovery and Data …, 2020 - research.ibm.com
Many real data come in the form of non-grid objects, ie graphs, from social networks to
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
[PDF][PDF] Deep Graph Learning: Foundations, Advances and Applications
Y Rong, T Xu, J Huang, W Huang, H Cheng, Y Ma… - 2020 - tylersnetwork.github.io
Many real data come in the form of non-grid objects, ie graphs, from social networks to
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
[PDF][PDF] Deep Graph Learning: Foundations, Advances and Applications
Y Rong, T Xu, J Huang, W Huang, H Cheng, Y Ma… - 2020 - tylersnetwork.github.io
Many real data come in the form of non-grid objects, ie graphs, from social networks to
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …
molecules. Adaptation of deep learning from grid-alike data (eg images) to graphs has …