Node Classification and Search on the Rubik's Cube Graph with GNNs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Barro, Alessandro
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Solving Rubik's Cube Without Tricky Sampling
by: Lin, Yicheng, et al.
Published: (2024)

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

A Rubik's Cube inspired approach to Clifford synthesis
by: Bao, Ning, et al.
Published: (2023)

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

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

Wormhole Memory: A Rubik's Cube for Cross-Dialogue Retrieval
by: Wang, Libo
Published: (2025)

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

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

Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
by: Zeng, Qian, et al.
Published: (2025)

Pointer Networks with Q-Learning for Combinatorial Optimization
by: Barro, Alessandro
Published: (2023)

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

A Machine Learning Approach That Beats Large Rubik's Cubes
by: Chervov, Alexander, et al.
Published: (2025)

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

Unsupervised Optimisation of GNNs for Node Clustering
by: Leeney, William, et al.
Published: (2024)

Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs
by: Li, Zhengdao, et al.
Published: (2024)

Diffusion on Graph: Augmentation of Graph Structure for Node Classification
by: Wang, Yancheng, et al.
Published: (2025)

Pure Node Selection for Imbalanced Graph Node Classification
by: Zeng, Fanlong, et al.
Published: (2025)

NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification
by: Chen, Jinsong, et al.
Published: (2024)

Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs
by: Yue, Zichao, et al.
Published: (2026)

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

An Effective Approach for Node Classification in Textual Graphs
by: Datta, Rituparna, et al.
Published: (2025)

Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features
by: Das, Pallabee, et al.
Published: (2025)

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

Global-Local Graph Neural Networks for Node-Classification
by: Eliasof, Moshe, et al.
Published: (2024)

Multi-label Node Classification On Graph-Structured Data
by: Zhao, Tianqi, et al.
Published: (2023)

Scale-aware Message Passing For Graph Node Classification
by: Jiang, Qin, et al.
Published: (2024)

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

Closed-Form Node Classification with Exact Graph Unlearning
by: Gaur, Aditya, et al.
Published: (2026)

Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
by: Cui, Hang, et al.
Published: (2024)

PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
by: Liu, Yilun, et al.
Published: (2023)

Label Inference Attacks against Node-level Vertical Federated GNNs
by: Arazzi, Marco, et al.
Published: (2023)

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

H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
by: Xue, Rui, et al.
Published: (2025)

BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)

GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
by: Wang, Zhixiao, et al.
Published: (2026)

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification
by: Zaz, Brown, et al.
Published: (2026)

Mixed Graph Contrastive Network for Semi-Supervised Node Classification
by: Yang, Xihong, et al.
Published: (2022)

FedGT: Federated Node Classification with Scalable Graph Transformer
by: Zhang, Zaixi, et al.
Published: (2024)

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