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Graph Kernels: State-of-the-Art and Future Challenges


elvis: Graph-structured data will continue to enable some of the most interesting applications in the field of machine learning -- ranging from social network analysis to neuroimaging. Check out this recent paper reviewing graph kernels and future challenges.

2 replies, 419 likes

Karsten Borgwardt: Excited by the current boom in learning on graphs, we have reviewed the foundations and trends in #graphkernel research. We hope that it will be a reference and starting point for lots of future work in this domain! #MachineLearning #DeepLearning #Kernels

3 replies, 405 likes

Bastian Rieck: Everything you ever wanted to know about graph kernels and more :)

1 replies, 42 likes

Dr ChloƩ Azencott: Oooh, lovely! I've been looking for an up-to-date review - often as a pointer for people who don't seem aware that learning on graphs didn't start with deep learning, because I'm a bitter old lady who wishes those kids would get off her lawn.

1 replies, 17 likes

Popular ML resources: The most popular ArXiv tweet in the last 24h:

0 replies, 15 likes

Ioannis Xenarios: hmm reading for a few weekend

0 replies, 2 likes


Found on Nov 10 2020 at

PDF content of a computer science paper: Graph Kernels: State-of-the-Art and Future Challenges