I got accepted as a GSoC contributor, and I am so excited to spend the summer working on such an incredibly interesting project. The mentors are very welcoming, communicative, fun to be around, and I really look forward to collaborating with them. My application for GSoC 2022 can be found here.

About me

My name is Konstantinos Petridis, and I am an Electrical Engineering student at the Aristotle University of Thessaloniki. I am currently on my 5th year of studies, with a Major in Electronics & Computer Science. Although a wide range of scientific fields fascinate me, I have a strong passion for Computer Science, Physics and Space. I love to study, learn new things and don’t hesitate to express my curiosity by asking a bunch of questions to the point of being annoying. You can find me on GitHub @kpetridis24.


The project I’ll be working on, is the implementation of VF2++, a state-of-the-art algorithm used for the Graph Isomorphism problem, which lies in the complexity class NP. The functionality of the algorithm is similar to a regular, but more complex form of a DFS, but performed on the possible solutions rather than the graph nodes. In order to verify/reject the isomorphism between two graphs, we examine every possible candidate pair of nodes (one from the first and one from the second graph) and check whether going deeper into the DFS tree is feasible using specific rules. In case of feasibility establishment, the DFS tree is expanded, investigating deeper pairs. When one pair is not feasible, we go up the tree and follow a different branch, just like in a regular DFS. More details about the algorithm can be found here.


The major reasons I chose this project emanate from both my love for Graph Theory, and the fascinating nature of this individual project. The algorithm itself is so recent, that NetworkX is possibly going to hold one of the first implementations of it. This might become a reference that is going to help to further develop and optimize future implementations of the algorithm by other organisations. Regarding my personal gain, I will become more familiar with the open source communities and their philosophy, I will collaborate with highly skilled individuals and cultivate a significant amount of experience on researching, working as a team, getting feedback and help when needed, contributing to an actual scientific library.