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Springer International Publishing
Reference21 articles.
1. Borgwardt, K.M., Ong, C.S., Schönauer, S., Vishwanathan, S., Smola, A.J., Kriegel, H.P.: Protein function prediction via graph kernels. Bioinformatics, 21(suppl 1), i47–i56 (2005)
2. Chen, D., Jacob, L., Mairal, J.: Convolutional kernel networks for graph-structured data. In: ICML, pp. 1576–1586 (2020)
3. Debnath, A.K., Lopez de Compadre, R.L., Debnath, G., Shusterman, A.J., Hansch, C.: Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. correlation with molecular orbital energies and hydrophobicity. J. Med. Chem. 34(2), 786–797 (1991)
4. Dobson, P.D., Doig, A.J.: Distinguishing enzyme structures from non-enzymes without alignments. J. Mol. Biol. 330(4), 771–783 (2003)
5. Grover, A., Leskovec, J.: Node2vec: scalable feature learning for networks. In: ACM SIGKDD, pp. 855–864 (2016)
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