Imagen de Portada

Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zhengdao, Cao, Yong, Shuai, Kefan, Miao, Yiming, Hwang, Kai
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Rethinking the Expressive Power of GNNs via Graph Biconnectivity
por: Zhang, Bohang, et al.
Publicado: (2023)

Rethinking Multi-Label Node Classification: Do Tuned Classic GNNs Suffice?
por: Xiao, Yuxuan, et al.
Publicado: (2026)

Graph Classification with GNNs: Optimisation, Representation and Inductive Bias
por: a, P. Krishna Kumar, et al.
Publicado: (2024)

Node Classification and Search on the Rubik's Cube Graph with GNNs
por: Barro, Alessandro
Publicado: (2025)

Benchmarking Positional Encodings for GNNs and Graph Transformers
por: Grötschla, Florian, et al.
Publicado: (2024)

On the Interpolation Effect of Score Smoothing in Diffusion Models
por: Chen, Zhengdao
Publicado: (2025)

MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
por: Yao, Tianjun, et al.
Publicado: (2024)

Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
por: Luo, Yuankai, et al.
Publicado: (2024)

A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
por: Liao, Ningyi, et al.
Publicado: (2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
por: Yang, Ling, et al.
Publicado: (2023)

Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
por: Chen, Zhengdao
Publicado: (2023)

On the Scalability of GNNs for Molecular Graphs
por: Sypetkowski, Maciej, et al.
Publicado: (2024)

CTS-Bench: Benchmarking Graph Coarsening Trade-offs for GNNs in Clock Tree Synthesis
por: Khadka, Barsat, et al.
Publicado: (2026)

Rethinking Benchmarks for Differentially Private Image Classification
por: Mokhtari, Sabrina, et al.
Publicado: (2026)

Understanding GNNs and Homophily in Dynamic Node Classification
por: Ito, Michael, et al.
Publicado: (2025)

Locality-Aware Graph-Rewiring in GNNs
por: Barbero, Federico, et al.
Publicado: (2023)

Rethinking Tokenized Graph Transformers for Node Classification
por: Chen, Jinsong, et al.
Publicado: (2025)

Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
por: Choi, Jeongwhan, et al.
Publicado: (2025)

Efficient Subgraph GNNs by Learning Effective Selection Policies
por: Bevilacqua, Beatrice, et al.
Publicado: (2023)

From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
por: Yang, Jie, et al.
Publicado: (2025)

Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
por: Frasca, Fabrizio, et al.
Publicado: (2024)

Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios
por: Sarcinelli, João Lucas Luz Lima, et al.
Publicado: (2025)

GraphBridge: Towards Arbitrary Transfer Learning in GNNs
por: Ju, Li, et al.
Publicado: (2025)

The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
por: Tori, Floriano, et al.
Publicado: (2024)

Rethinking Graph Transformer Architecture Design for Node Classification
por: Zhou, Jiajun, et al.
Publicado: (2024)

Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
por: Ferrini, Francesco, et al.
Publicado: (2026)

Benchmarking GNNs Using Lightning Network Data
por: Feichtinger, Rainer, et al.
Publicado: (2024)

Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
por: Bar-Shalom, Guy, et al.
Publicado: (2024)

Chaining 2-FWL GNNs for Combinatorial Graph Alignment
por: Lelarge, Marc
Publicado: (2025)

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs
por: Gupta, Arman, et al.
Publicado: (2025)

Chi-Geometry: A Library for Benchmarking Chirality Prediction of GNNs
por: Weaver, Rylie, et al.
Publicado: (2025)

Revealing Combinatorial Reasoning of GNNs via Graph Concept Bottleneck Layer
por: Niu, Yue, et al.
Publicado: (2026)

'Hello, World!': Making GNNs Talk with LLMs
por: Kim, Sunwoo, et al.
Publicado: (2025)

Commute-Time-Optimised Graphs for GNNs
por: Sterner, Igor, et al.
Publicado: (2024)

Classifying Nodes in Graphs without GNNs
por: Winter, Daniel, et al.
Publicado: (2024)

Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification
por: Chaidos, Nikolaos, et al.
Publicado: (2025)

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach
por: Zhu, Yinlin, et al.
Publicado: (2026)

DeGLIF for Label Noise Robust Node Classification using GNNs
por: Kumar, Pintu, et al.
Publicado: (2025)

Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
por: Jiang, Qin, et al.
Publicado: (2026)

A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs
por: Wang, Jiaqi, et al.
Publicado: (2025)