Temporal global network aligment algorithms
- DynaWAVE: Vipin Vijayan and Tijana Milenković. Aligning dynamic networks with DynaWAVE. In Bioinformatics 34.10 (2017): 1795-1798.
- DynaMAGNA++: Vipin Vijayan, Dominic Critchlow and Tijana Milenković. Alignment of dynamic networks. In Bioinformatics, 33.14 (2017): i180-i189..
Static global network aligment algorithms
- WAVE: Vipin Vijayan and Tijana Milenković. Simultaneous optimization of both node and edge conservation in network alignment via WAVE. In International Workshop on Algorithms in Bioinformatics. Springer, Berlin, Heidelberg, 2015..
- MAGNA++: Vipin Vijayan, Vikram Saraph and Tijana Milenković. MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation. In Bioinformatics 31.14 (2015): 2409-2411.
Temporal features for node conservation
- GoTs: David Aparício, Pedro Ribeiro and Fernando Silva.Temporal Network Comparison using Graphlet-orbit Transitions. In arXiv:1707.04572.
- DGDVs: Yuriy Hulovatyy, Huili Chen and Tijana Milenković. Exploring the structure and function of temporal networks with dynamic graphlets. In Bioinformatics 31.12 (2015): i171-i180..
Graphlet enumeration using g-tries
- G-Tries: Pedro Ribeiro and Fernando Silva. G-Tries: a data structure for storing and finding subgraphs. In Data Mining and Knowledge Discovery 28.2 (2014): 337-377.
- G-Tries with orbits: David Aparício, Pedro Ribeiro and Fernando Silva. Extending the Applicability of Graphlets to Directed Networks. In IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 14.6 (2017): 1302-1315.