An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning
作者： Arijit Khan , Kenneth Teo Tian Shun , Eko Edita Limanta
DOI: 10.1109/BIGDATA50022.2020.9377827
关键词:
摘要: The end-to-end learning in convolutional neural networks (CNNs) and their ability to extract localized deep features, have turned them into powerful tools for learning from a large …
sci-hub.st 参考文章(20)
Sayan Ranu, Ambuj K. Singh, GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases international conference on data engineering. pp. 844- 855 ,(2009) , 10.1109/ICDE.2009.133
H. Toivonen, A. Srinivasan, R. D. King, S. Kramer, C. Helma, Statistical evaluation of the Predictive Toxicology Challenge 2000-2001. Bioinformatics. ,vol. 19, pp. 1183- 1193 ,(2003) , 10.1093/BIOINFORMATICS/BTG130
R. Sharan, S. Suthram, R. M. Kelley, T. Kuhn, S. McCuine, P. Uetz, T. Sittler, R. M. Karp, T. Ideker, Conserved patterns of protein interaction in multiple species Proceedings of the National Academy of Sciences of the United States of America. ,vol. 102, pp. 1974- 1979 ,(2005) , 10.1073/PNAS.0409522102
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu, Mining significant graph patterns by leap search Proceedings of the 2008 ACM SIGMOD international conference on Management of data - SIGMOD '08. pp. 433- 444 ,(2008) , 10.1145/1376616.1376662
Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri, Querying Knowledge Graphs by Example Entity Tuples IEEE Transactions on Knowledge and Data Engineering. ,vol. 27, pp. 2797- 2811 ,(2015) , 10.1109/TKDE.2015.2426696
Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S. Pappu, Karl Leswing, Vijay Pande, MoleculeNet: a benchmark for molecular machine learning Chemical Science. ,vol. 9, pp. 513- 530 ,(2018) , 10.1039/C7SC02664A
Anshul Kundaje, Peyton Greenside, Avanti Shrikumar, Learning important features through propagating activation differences international conference on machine learning. pp. 3145- 3153 ,(2017)
Yixin Chen, Muhan Zhang, Marion Neumann, Zhicheng Cui, An End-to-End Deep Learning Architecture for Graph Classification. national conference on artificial intelligence. pp. 4438- 4445 ,(2018)
Jure Leskovec, Xiang Ren, William L. Hamilton, Christopher Morris, Zhitao Ying, Jiaxuan You, Hierarchical graph representation learning with differentiable pooling neural information processing systems. ,vol. 31, pp. 4805- 4815 ,(2018)
Risi Kondor, Nicol N. Schraudolph, Karsten M. Borgwardt, S. V. N. Vishwanathan, Graph Kernels The Journal of Machine Learning Research archive. ,vol. 11, pp. 1201- 1242 ,(2010)