Invariant-Based Diagnostics for Graph Benchmarks
Fuente:
arXiv
Guardado en:
| Autores principales: | von Moos, Richard, Alain, Mathieu, Rieck, Bastian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
por: Rieck, Bastian
Publicado: (2026)
por: Rieck, Bastian
Publicado: (2026)
Graph Classification Gaussian Processes via Hodgelet Spectral Features
por: Alain, Mathieu, et al.
Publicado: (2024)
por: Alain, Mathieu, et al.
Publicado: (2024)
Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
por: Alain, Mathieu, et al.
Publicado: (2025)
por: Alain, Mathieu, et al.
Publicado: (2025)
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
por: von Rohrscheidt, Julius, et al.
Publicado: (2024)
por: von Rohrscheidt, Julius, et al.
Publicado: (2024)
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
por: Amboage, Juan, et al.
Publicado: (2025)
por: Amboage, Juan, et al.
Publicado: (2025)
Causal Fourier Analysis on Directed Acyclic Graphs and Posets
por: Seifert, Bastian, et al.
Publicado: (2022)
por: Seifert, Bastian, et al.
Publicado: (2022)
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
por: Buffelli, Davide, et al.
Publicado: (2024)
por: Buffelli, Davide, et al.
Publicado: (2024)
Differentiable Euler Characteristic Transforms for Shape Classification
por: Roell, Ernst, et al.
Publicado: (2023)
por: Roell, Ernst, et al.
Publicado: (2023)
Theoretical Insights into Line Graph Transformation on Graph Learning
por: Yang, Fan, et al.
Publicado: (2024)
por: Yang, Fan, et al.
Publicado: (2024)
Geometry-Aware Edge Pooling for Graph Neural Networks
por: Limbeck, Katharina, et al.
Publicado: (2025)
por: Limbeck, Katharina, et al.
Publicado: (2025)
On the Expressivity of Persistent Homology in Graph Learning
por: Ballester, Rubén, et al.
Publicado: (2023)
por: Ballester, Rubén, et al.
Publicado: (2023)
Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform
por: Rieck, Bastian
Publicado: (2024)
por: Rieck, Bastian
Publicado: (2024)
On the Expressive Power of Spectral Invariant Graph Neural Networks
por: Zhang, Bohang, et al.
Publicado: (2024)
por: Zhang, Bohang, et al.
Publicado: (2024)
CSGO: Constrained-Softassign Gradient Optimization For Large Graph Matching
por: Shen, Binrui, et al.
Publicado: (2022)
por: Shen, Binrui, et al.
Publicado: (2022)
Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
por: Hordan, Snir, et al.
Publicado: (2026)
por: Hordan, Snir, et al.
Publicado: (2026)
Heating Up Quasi-Monte Carlo Graph Random Features: A Diffusion Kernel Perspective
por: Feinberg, Brooke, et al.
Publicado: (2024)
por: Feinberg, Brooke, et al.
Publicado: (2024)
Point Cloud Synthesis Using Inner Product Transforms
por: Röell, Ernst, et al.
Publicado: (2024)
por: Röell, Ernst, et al.
Publicado: (2024)
Weighted Random Dot Product Graphs
por: Marenco, Bernardo, et al.
Publicado: (2025)
por: Marenco, Bernardo, et al.
Publicado: (2025)
Diversity Curves for Graph Representation Learning
por: Limbeck, Katharina, et al.
Publicado: (2026)
por: Limbeck, Katharina, et al.
Publicado: (2026)
Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
por: Sharman, Bharat, et al.
Publicado: (2025)
por: Sharman, Bharat, et al.
Publicado: (2025)
Graphons of Line Graphs
por: Kandanaarachchi, Sevvandi, et al.
Publicado: (2024)
por: Kandanaarachchi, Sevvandi, et al.
Publicado: (2024)
MANTRA: The Manifold Triangulations Assemblage
por: Ballester, Rubén, et al.
Publicado: (2024)
por: Ballester, Rubén, et al.
Publicado: (2024)
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
por: Davila, Randy, et al.
Publicado: (2025)
por: Davila, Randy, et al.
Publicado: (2025)
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
por: Coupette, Corinna, et al.
Publicado: (2025)
por: Coupette, Corinna, et al.
Publicado: (2025)
Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them
por: Carrasco, Martin, et al.
Publicado: (2025)
por: Carrasco, Martin, et al.
Publicado: (2025)
Graph Automorphism Group Equivariant Neural Networks
por: Pearce-Crump, Edward, et al.
Publicado: (2023)
por: Pearce-Crump, Edward, et al.
Publicado: (2023)
Geometry-Aware Simplicial Message Passing
por: Wang, Elena Xinyi, et al.
Publicado: (2026)
por: Wang, Elena Xinyi, et al.
Publicado: (2026)
Efficient Algorithms for Learning and Compressing Monophonic Halfspaces in Graphs
por: Bressan, Marco, et al.
Publicado: (2025)
por: Bressan, Marco, et al.
Publicado: (2025)
Mapping the Multiverse of Latent Representations
por: Wayland, Jeremy, et al.
Publicado: (2024)
por: Wayland, Jeremy, et al.
Publicado: (2024)
Simplicial Representation Learning with Neural $k$-Forms
por: Maggs, Kelly, et al.
Publicado: (2023)
por: Maggs, Kelly, et al.
Publicado: (2023)
Graph Neural Networks Are Not Continuous Across Graph Resolutions
por: Koke, Christian, et al.
Publicado: (2026)
por: Koke, Christian, et al.
Publicado: (2026)
EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings
por: Saidi, Tristan Luca, et al.
Publicado: (2025)
por: Saidi, Tristan Luca, et al.
Publicado: (2025)
Generating Hadamard matrices with transformers
por: Williamson, Geordie, et al.
Publicado: (2026)
por: Williamson, Geordie, et al.
Publicado: (2026)
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization
por: Rostami, Mohammadreza, et al.
Publicado: (2026)
por: Rostami, Mohammadreza, et al.
Publicado: (2026)
An Optimal Sauer Lemma Over $k$-ary Alphabets
por: Hanneke, Steve, et al.
Publicado: (2026)
por: Hanneke, Steve, et al.
Publicado: (2026)
Neural Algorithmic Reasoning for Approximate $k$-Coloring with Recursive Warm Starts
por: Vanderbush, Knut, et al.
Publicado: (2026)
por: Vanderbush, Knut, et al.
Publicado: (2026)
Complex non-backtracking matrix for directed graphs
por: Sando, Keishi, et al.
Publicado: (2025)
por: Sando, Keishi, et al.
Publicado: (2025)
A classification model based on a population of hypergraphs
por: Barton, Samuel, et al.
Publicado: (2024)
por: Barton, Samuel, et al.
Publicado: (2024)
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
por: Mundinger, Konrad, et al.
Publicado: (2025)
por: Mundinger, Konrad, et al.
Publicado: (2025)
Reinforcement learning for graph theory, Parallelizing Wagner's approach
por: Bouffard, Alix, et al.
Publicado: (2025)
por: Bouffard, Alix, et al.
Publicado: (2025)
Ejemplares similares
-
Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
por: Rieck, Bastian
Publicado: (2026) -
Graph Classification Gaussian Processes via Hodgelet Spectral Features
por: Alain, Mathieu, et al.
Publicado: (2024) -
Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
por: Alain, Mathieu, et al.
Publicado: (2025) -
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
por: von Rohrscheidt, Julius, et al.
Publicado: (2024) -
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
por: Amboage, Juan, et al.
Publicado: (2025)