Fragkiskos D. Malliaros
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
17
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | ADMP-GNN: Adaptive Depth Message Passing GNN. | Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Michalis Vazirgiannis |
| 2025 | CIKM | Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks. | Hugo Attali, Thomas Papastergiou, Nathalie Pernelle, Fragkiskos D. Malliaros |
| 2025 | ESANN | Network Science Meets AI: A Converging Frontier. | Matteo Zignani, Fragkiskos D. Malliaros, Ingo Scholtes, Roberto Interdonato, Manuel Dileo |
| 2025 | ICML | Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation. | Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis |
| 2025 | RecSys | How Fair is Your Diffusion Recommender Model? | Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Mirko Marras, Fragkiskos D. Malliaros, Ludovico Boratto |
| 2024 | CIKM | The Factuality of Large Language Models in the Legal Domain. | Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek |
| 2024 | CIKM | Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? | Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros |
| 2023 | CIKM | On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks. | Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros |
| 2023 | ICASSP | Time-Varying Signals Recovery Via Graph Neural Networks. | Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans, Fragkiskos D. Malliaros |
| 2023 | ICASSP | Higher-Order Sparse Convolutions in Graph Neural Networks. | Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans |
| 2023 | ICML | FAENet: Frame Averaging Equivariant GNN for Materials Modeling. | Alexandre Duval, Victor Schmidt, Alex Hernndez-Garca, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick |
| 2022 | CIKM | Higher-order Clustering and Pooling for Graph Neural Networks. | Alexandre Duval, Fragkiskos D. Malliaros |
| 2021 | IJCAI | An Adversarial Attacker for Neural Networks in Regression Problems. | Kavya Gupta, Jean-Christophe Pesquet, Batrice Pesquet-Popescu, Fateh Kaakai, Fragkiskos D. Malliaros |
| 2021 | ICWE | Influence Learning and Maximization. | George Panagopoulos, Fragkiskos D. Malliaros |
| 2020 | AAAI | Exponential Family Graph Embeddings. | Abdulkadir elikkanat, Fragkiskos D. Malliaros |
| 2020 | ICANN | Boosting Tricks for Word Mover's Distance. | Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis |
| 2020 | ICWSM | Influence Maximization Using Influence and Susceptibility Embeddings. | George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2018 | CIKM | GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs. | Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos |
| 2018 | WWW | BigNet 2018 Chairs' Welcome & Organization. | Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger |
| 2017 | SDM | Sensitivity of Community Structure to Network Uncertainty. | Marc Mitri, Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2016 | EDBT | Core Decomposition in Graphs: Concepts, Algorithms and Applications. | Fragkiskos D. Malliaros, Apostolos N. Papadopoulos, Michalis Vazirgiannis |
| 2016 | EMNLP | A Graph Degeneracy-based Approach to Keyword Extraction. | Antoine J.-P. Tixier, Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2016 | ICDM | SpreadViz: Analytics and Visualization of Spreading Processes in Social Networks. | Konstantinos Skianis, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2015 | WWW | Spread it Good, Spread it Fast: Identification of Influential Nodes in Social Networks. | Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2014 | AAAI | CoreCluster: A Degeneracy Based Graph Clustering Framework. | Christos Giatsidis, Fragkiskos D. Malliaros, Dimitrios M. Thilikos, Michalis Vazirgiannis |
| 2013 | CIKM | To stay or not to stay: modeling engagement dynamics in social graphs. | Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2013 | WSDM | Advanced graph mining for community evaluation in social networks and the web. | Christos Giatsidis, Fragkiskos D. Malliaros, Michalis Vazirgiannis |
| 2012 | SDM | Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection. | Fragkiskos D. Malliaros, Vasileios Megalooikonomou, Christos Faloutsos |
| 2011 | DASFAA | Expansion Properties of Large Social Graphs. | Fragkiskos D. Malliaros, Vasileios Megalooikonomou |