Malliaros, Fragkiskos D.

12 publications

TMLR 2025 A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning Amadou Siaka Sangare, Nicolas Dunou, Jhony H. Giraldo, Fragkiskos D. Malliaros

TMLR 2025 Cometh: A Continuous-Time Discrete-State Graph Diffusion Model Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris

NeurIPS 2025 Continuous Simplicial Neural Networks Aref Einizade, Dorina Thanou, Fragkiskos D. Malliaros, Jhony H. Giraldo

ICML 2025 Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine M. Aboussalah, Michalis Vazirgiannis

TMLR 2025 Piecewise Constant Spectral Graph Neural Network Vahan Martirosyan, Jhony H. Giraldo, Fragkiskos D. Malliaros

NeurIPS 2024 Continuous Product Graph Neural Networks Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo

ICMLW 2024 Improving Molecular Modeling with Geometric GNNs: An Empirical Study Ali Ramlaoui, Théo Saulus, Basile Terver, Victor Schmidt, David Rolnick, Fragkiskos D. Malliaros, Alexandre AGM Duval

ECML-PKDD 2024 Uplift Modeling Under Limited Supervision George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang

ICML 2023 FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Agm Duval, Victor Schmidt, Alex Hernández-Garcı́a, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick

ECML-PKDD 2021 GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval, Fragkiskos D. Malliaros

AAAI 2020 Exponential Family Graph Embeddings Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

AAAI 2014 CoreCluster: A Degeneracy Based Graph Clustering Framework Christos Giatsidis, Fragkiskos D. Malliaros, Dimitrios M. Thilikos, Michalis Vazirgiannis