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Welcome to the Complex Networks Analysis discussion group

 

The Complex Network Analysis (CNA) discussion group aims to bring together scientists from different groups and teams of the Institute that want to share research ideas, experimental results, expertise, and knowledge around the area of Complex Networks, probabilistic graphs, and related research topics.

In this context, discussions and presentations will take place twice a month.

Please subscribe to cna@iit.demokritos.gr to receive updates by sending an email to cna-request@iit.demokritos.gr with subject: subscribe
Should you have any issues, ideas, thoughts, please contact izavits@iit.demokritos.gr

Meetings and material

Mon. October 23, 2023 – Runlin Lei: EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks (Paper & Video)

Mon. October 9, 2023 – Giannis Nikolentzos: What Do GNNs Actually Learn? Towards Understanding their Representations (Paper)

Tue. September 12, 2023 – Clément Vignac: DIGRESS: Discrete denoising diffusion for graph generation (Video & Presentation)

Mon. June 26, 2023 – Loukas Gouskos: GNNs for CMS (Video)

Mon. June 12, 2023 – Francesco Di Giovanni: On oversquashing and expressivity: can GNNs mix variables? From theory to physics-inspired solutions (Presentation & Video)

Mon. May 29, 2023 – Fabrizio Frasca: Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries (Video)

Mon. May 15, 2023 – Michail Chatzianastasis: Graph ordering attention networks (Presentation & Video)

Mon. April 3, 2023 – Francesco Di Giovanni: On over-squashing in Graph Neural Networks (Presentation & Video)

Mon. March 20, 2023 – Johannes Gasteiger: Graph Neural Networks for Molecules and Materials (Video)

Mon. March 6, 2023 – Noam Razin: On the Ability of Graph Neural Networks to Model Interactions Between Vertices (Presentation & Video)

Mon. February 6, 2023 – Learning on Graphs Athens Meetup

Mon. January 21, 2023 – Eleonora Ricci: Convolutional Graph Neural Networks for Learning Interactions in Molecular Simulations (Video)

Mon. January 9, 2023 – Konstantinos Bougiatiotis: Efficient multi-relational network representation using primes (Presentation & Video)

Mon. November 28, 2022 – Dimitrios Kelesis: Over-smoothing reduction in GNNs (Slides upon request)

Mon. November 14, 2022 – Charalampos Tsourakakis: Near-Optimal Learning of Joint Alignments and Clusters with a Faulty Oracle (Presentation & Video)

Mon. October 31, 2022 – Diego Sáez Trumper: Tracking Knowledge Propagation Across Wikipedia Languages (Video)

Wed. September 21, 2022 – George Kefalas: Network structure vs chemical information in drug-drug interaction prediction (Presentation & Video)

Wed. June 1, 2022 – Roland Molontay & Marcell Nagy: Network classification-based structural analysis of real networks and their model-generated counterparts (Presentation & Video & paper)

Wed. May 18, 2022 – Bastian Rieck: Topological Graph Neural Networks (Presentation & Video)

Wed. May 4, 2022 – Nikos Gialitsis: Multilayer Networks for Scientific Field Classification (Presentation & Video)

Wed. Mar 23, 2022 – Esteban Bautista: Graph and link stream decompositions (Presentation upon request)

Wed. Feb 23, 2022 – Ingo Scholtes: From networks to optimal higher-order models of complex systems (Presentation & Video)

Wed. Feb 9, 2022 – Davide Cirillo: Multilayer networks for multi-omic data integration and interpretation (Presentation)

Wed. Jan 26, 2022 – Emmanouil Krasanakis: Unsupervised evaluation of multiple node ranks by reconstructing local structures (Presentation)

Wed. Dec 1, 2021 – Dimitrios Kelesis: Incorporating Symbolic Domain Knowledge into Graph Neural Networks (Video)

Wed. Oct 6, 2021 – Giannis Nikolentzos: Random Walk Graph Neural Networks (Presentation & Video)

Wed. Sept 8, 2021 – Dimitrios Kelesis: Multi-Hop Attention using Diffusion (Presentation & Video)

Wed. July 21, 2021 – Dimitrios Tsiotas: Follow-up discussion on “Drawing indicators of economic performance from network topology”

Wed. June 30, 2021 – Dimitrios Kelesis: Layer Stacking VS Attention (Presentation & Video)

Wed. June 23, 2021 – Dimitrios Tsiotas: Drawing indicators of economic performance from network topology: the case of the interregional road transportation in Greece (Presentation & Video)

Wed. May 19, 2021 – Jingbo Xia: AGAC: Annotation of Genes with Alteration-Centric function changes – A customized corpus for mining functions caused by mutations (Video)

Wed. Apr 21, 2021 – Jiong Zhu: Limitations and effective designs for graph neural networks beyond homophily assumptions (Video)

Wed. Apr 7, 2021 – George Giannakopoulos: A story of non-probabilistic representation across modalities and settings (Presentation & Video)

Wed. Mar 24, 2021 – Dimitris Mavroeidis: Praxicon: A Semantic Memory for Robots (Presentation & Video)

Wed. Mar 10, 2021 – George Katsimbras: Applying Graph Neural Networks to Power-law Graphs (presentation & video upon request)

Wed. Febr 24, 2021 – Romanos Fasoulis: Guiding Graph Embeddings using Path-Ranking Methods for Error Detection in noisy Knowledge Graphs (Presentation & Video)

Tue. Feb 16, 2021 – Nikos Gialitsis: N-Gram Graph Indexing for Queries on Nucleotide Databases: Past & Future (Presentation & Video)

Tue. Dec 15, 2020 – Dimitrios Vogiatzis: Community Detection in Hypergraphs (Presentation)

Tue. Dec 1, 2020 – Fotis Aisopos and Tasos Nentidis: IASIS project (Presentation)

 

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