1.
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Jürgen Jost,
2009,
Chapter 4,
978-3-642-00615-9,
51,
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2.
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Bing Wang, Zhiwen Sun, Yuexing Han,
A Path-Based Distribution Measure for Network Comparison,
2020,
22,
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3.
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Sarika Jalan,
Spectral analysis of deformed random networks,
2009,
80,
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4.
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Jiao Gu, Bobo Hua, Shiping Liu,
Spectral distances on graphs,
2015,
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56,
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5.
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Francesc Comellas, Jordi Diaz-Lopez,
Spectral reconstruction of complex networks,
2008,
387,
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6.
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Anirban Banerjee,
Structural distance and evolutionary relationship of networks,
2012,
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7.
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Ankit Agrawal, Camellia Sarkar, Sanjiv K. Dwivedi, Nitesh Dhasmana, Sarika Jalan,
Quantifying randomness in protein–protein interaction networks of different species: A random matrix approach,
2014,
404,
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359,
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8.
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Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu,
2021,
Fast Attributed Graph Embedding via Density of States,
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559,
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9.
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Claire Donnat, Susan Holmes,
Tracking network dynamics: A survey using graph distances,
2018,
12,
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10.
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Melanie Weber, Emil Saucan, Jürgen Jost,
Characterizing complex networks with Forman-Ricci curvature and associated geometric flows,
2017,
5,
2051-1310,
527,
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11.
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Anirban Banerjee, Jürgen Jost,
2009,
Chapter 7,
978-0-8176-4750-6,
117,
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12.
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Lingxiao Zhao, Saurabh Sawlani, Leman Akoglu,
Density of states for fast embedding node-attributed graphs,
2023,
0219-1377,
10.1007/s10115-023-01836-3
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13.
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Melanie Weber, Jürgen Jost, Emil Saucan,
Forman-Ricci Flow for Change Detection in Large Dynamic Data Sets,
2016,
5,
2075-1680,
26,
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14.
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Jiao Gu, Jürgen Jost, Shiping Liu, Peter F. Stadler,
Spectral classes of regular, random, and empirical graphs,
2016,
489,
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10.1016/j.laa.2015.08.038
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15.
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Leonardo Scabini, Lucas Ribas, Eraldo Ribeiro, Odemir Bruno,
2022,
Chapter 5,
978-3-030-97239-4,
54,
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16.
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Krishanu Deyasi, Anirban Banerjee, Bony Deb,
Phylogeny of metabolic networks: A spectral graph theoretical approach,
2015,
40,
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799,
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17.
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Melanie Weber, Emil Saucan, Jürgen Jost, Ernesto Estrada,
Coarse geometry of evolving networks,
2018,
6,
2051-1310,
706,
10.1093/comnet/cnx049
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18.
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Jeaneth Machicao, Francesco Craighero, Davide Maspero, Fabrizio Angaroni, Chiara Damiani , Alex Graudenzi , Marco Antoniotti, Odemir M. Bruno,
On the Use of Topological Features of Metabolic Networks for the Classification of Cancer Samples,
2021,
22,
13892029,
88,
10.2174/1389202922666210301084151
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19.
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Hao Chen, Jürgen Jost,
Minimum vertex covers and the spectrum of the normalized Laplacian on trees,
2012,
437,
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20.
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J Gu, Y Zhu, L Guo, J Jiang, L Chi, W Li, Q A Wang, X Cai,
Recent Progress in Some Active Topics on Complex Networks,
2015,
604,
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21.
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Jürgen Jost, Kiran M. Kolwankar,
Evolution of network structure by temporal learning,
2009,
388,
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1959,
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22.
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Lucas C. Ribas, Jeaneth Machicao, Odemir M. Bruno,
Life-Like Network Automata descriptor based on binary patterns for network classification,
2020,
515,
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23.
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B. Tadić, M. Mitrović,
Jamming and correlation patterns in traffic of information on sparse modular networks,
2009,
71,
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631,
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24.
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Marija Mitrović, Bosiljka Tadić,
Spectral and dynamical properties in classes of sparse networks with mesoscopic inhomogeneities,
2009,
80,
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10.1103/PhysRevE.80.026123
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25.
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Raffaella Mulas, Danijela Horak, Jürgen Jost,
2022,
Chapter 1,
978-3-030-91373-1,
1,
10.1007/978-3-030-91374-8_1
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26.
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Jürgen Jost, Raffaella Mulas, Ernesto Estrada,
Normalized Laplace operators for hypergraphs with real coefficients,
2021,
9,
2051-1310,
10.1093/comnet/cnab009
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