Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
Fuente:
arXiv
Saved in:
| Main Authors: | Frasca, Fabrizio, Jogl, Fabian, Eliasof, Moshe, Ostrovsky, Matan, Schönlieb, Carola-Bibiane, Gärtner, Thomas, Maron, Haggai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
by: Southern, Joshua, et al.
Published: (2025)
by: Southern, Joshua, et al.
Published: (2025)
GRANOLA: Adaptive Normalization for Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)
by: Eliasof, Moshe, et al.
Published: (2024)
Future Directions in the Theory of Graph Machine Learning
by: Morris, Christopher, et al.
Published: (2024)
by: Morris, Christopher, et al.
Published: (2024)
Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
by: Galron, Yaniv, et al.
Published: (2025)
by: Galron, Yaniv, et al.
Published: (2025)
UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces
by: Hong, Binjie, et al.
Published: (2026)
by: Hong, Binjie, et al.
Published: (2026)
Genetic Programming Theory and Practice: A Fifteen-Year Trajectory
by: Sipper, Moshe, et al.
Published: (2024)
by: Sipper, Moshe, et al.
Published: (2024)
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
by: Vermetten, Diederick, et al.
Published: (2024)
by: Vermetten, Diederick, et al.
Published: (2024)
STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements
by: Unger, Moshe, et al.
Published: (2025)
by: Unger, Moshe, et al.
Published: (2025)
Classy Ensemble: A Novel Ensemble Algorithm for Classification
by: Sipper, Moshe
Published: (2023)
by: Sipper, Moshe
Published: (2023)
Coevolving Artistic Images Using OMNIREP
by: Sipper, Moshe, et al.
Published: (2024)
by: Sipper, Moshe, et al.
Published: (2024)
New Pathways in Coevolutionary Computation
by: Sipper, Moshe, et al.
Published: (2024)
by: Sipper, Moshe, et al.
Published: (2024)
Towards Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models
by: Lyu, Xuebin, et al.
Published: (2024)
by: Lyu, Xuebin, et al.
Published: (2024)
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization
by: Xue, Xiaoming, et al.
Published: (2025)
by: Xue, Xiaoming, et al.
Published: (2025)
Enhancing Parameter Control Policies with State Information
by: Covini, Gianluca, et al.
Published: (2025)
by: Covini, Gianluca, et al.
Published: (2025)
Finding Low Star Discrepancy 3D Kronecker Point Sets Using Algorithm Configuration Techniques
by: Abderrahim, Imène Ait, et al.
Published: (2026)
by: Abderrahim, Imène Ait, et al.
Published: (2026)
Similarity-based Portfolio Construction for Black-box Optimization
by: Dinu, Catalin-Viorel, et al.
Published: (2026)
by: Dinu, Catalin-Viorel, et al.
Published: (2026)
How Sequential Algorithm Portfolios can benefit Black Box Optimization
by: Dinu, Catalin-Viorel, et al.
Published: (2026)
by: Dinu, Catalin-Viorel, et al.
Published: (2026)
Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions
by: Doerr, Carola, et al.
Published: (2023)
by: Doerr, Carola, et al.
Published: (2023)
Towards Exploratory Quality Diversity Landscape Analysis
by: Mosphilis, Kyriacos, et al.
Published: (2024)
by: Mosphilis, Kyriacos, et al.
Published: (2024)
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
by: Dietrich, Konstantin, et al.
Published: (2024)
by: Dietrich, Konstantin, et al.
Published: (2024)
Reachability Analysis for Lexicase Selection via Community Assembly Graphs
by: Dolson, Emily, et al.
Published: (2023)
by: Dolson, Emily, et al.
Published: (2023)
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
by: Dietrich, Konstantin, et al.
Published: (2024)
by: Dietrich, Konstantin, et al.
Published: (2024)
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks
by: Nikolikj, Ana, et al.
Published: (2024)
by: Nikolikj, Ana, et al.
Published: (2024)
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search
by: Lv, Zeqiong, et al.
Published: (2024)
by: Lv, Zeqiong, et al.
Published: (2024)
On the Structural (Dis)Agreement of Landscape Representations in Black-Box Optimization
by: Gjorgjieva, Sara, et al.
Published: (2026)
by: Gjorgjieva, Sara, et al.
Published: (2026)
Large-scale Benchmarking of Metaphor-based Optimization Heuristics
by: Vermetten, Diederick, et al.
Published: (2024)
by: Vermetten, Diederick, et al.
Published: (2024)
Cascading CMA-ES Instances for Generating Input-diverse Solution Batches
by: Santoni, Maria Laura, et al.
Published: (2025)
by: Santoni, Maria Laura, et al.
Published: (2025)
Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)
by: Wu, Sheng-Hao, et al.
Published: (2024)
Sustainable AI: Mathematical Foundations of Spiking Neural Networks
by: Fono, Adalbert, et al.
Published: (2025)
by: Fono, Adalbert, et al.
Published: (2025)
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
by: Nikolikj, Ana, et al.
Published: (2023)
by: Nikolikj, Ana, et al.
Published: (2023)
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
by: Liu, Jiao, et al.
Published: (2023)
by: Liu, Jiao, et al.
Published: (2023)
Direct-to-Event Spiking Neural Network Transfer
by: Luu, Nhan Trong, et al.
Published: (2026)
by: Luu, Nhan Trong, et al.
Published: (2026)
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
by: Bechler-Speicher, Maya, et al.
Published: (2025)
by: Bechler-Speicher, Maya, et al.
Published: (2025)
Task and Explanation Network
by: Sipper, Moshe
Published: (2024)
by: Sipper, Moshe
Published: (2024)
When Switching Algorithms Helps: A Theoretical Study of Online Algorithm Selection
by: Antipov, Denis, et al.
Published: (2026)
by: Antipov, Denis, et al.
Published: (2026)
STEMNIST: Spiking Tactile Extended MNIST Neuromorphic Dataset
by: Tripathi, Anubhab, et al.
Published: (2026)
by: Tripathi, Anubhab, et al.
Published: (2026)
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
by: Nikolikj, Ana, et al.
Published: (2024)
by: Nikolikj, Ana, et al.
Published: (2024)
Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization
by: Xue, Xiaoming, et al.
Published: (2024)
by: Xue, Xiaoming, et al.
Published: (2024)
Deep Learning-Based Operators for Evolutionary Algorithms
by: Shem-Tov, Eliad, et al.
Published: (2024)
by: Shem-Tov, Eliad, et al.
Published: (2024)
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization
by: Hou, Yaqing, et al.
Published: (2024)
by: Hou, Yaqing, et al.
Published: (2024)
Similar Items
-
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
by: Southern, Joshua, et al.
Published: (2025) -
GRANOLA: Adaptive Normalization for Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024) -
Future Directions in the Theory of Graph Machine Learning
by: Morris, Christopher, et al.
Published: (2024) -
Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
by: Galron, Yaniv, et al.
Published: (2025) -
UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces
by: Hong, Binjie, et al.
Published: (2026)