Cover Image

A Class-Aware Representation Refinement Framework for Graph Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Jiaxing, Ni, Jinjie, Ke, Yiping
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025)

$α$-GAN by Rényi Cross Entropy
by: Ding, Ni, et al.
Published: (2025)

Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
by: Zhang, Jiaxing, et al.
Published: (2025)

Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification
by: Febrinanto, Falih Gozi, et al.
Published: (2025)

NC-NCD: Novel Class Discovery for Node Classification
by: Hou, Yue, et al.
Published: (2024)

Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification
by: Zhang, Jiaxin, et al.
Published: (2026)

Semantic Refinement with LLMs for Graph Representations
by: Thapaliya, Safal, et al.
Published: (2025)

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
by: Hu, Yulan, et al.
Published: (2023)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
by: Qian, Feifei, et al.
Published: (2024)

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)

Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024)

Transition Graph Properties of Target Class Classification
by: Aslanyan, Levon, et al.
Published: (2024)

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

A Unified Invariant Learning Framework for Graph Classification
by: Sui, Yongduo, et al.
Published: (2025)

Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)

GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
by: Duan, Shijin, et al.
Published: (2024)

Directed Homophily-Aware Graph Neural Network
by: Zhang, Aihu, et al.
Published: (2025)

SamGoG: A Sampling-Based Graph-of-Graphs Framework for Imbalanced Graph Classification
by: Wang, Shangyou, et al.
Published: (2025)

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning
by: Srinivasan, Srinitish, et al.
Published: (2025)

SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
by: Amouzouvi, Kossi, et al.
Published: (2025)

Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
by: Nyberg, Jakob, et al.
Published: (2025)

Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
by: Zahid, Muhammad Uzair, et al.
Published: (2024)

PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs
by: Radwan, Yousef A., et al.
Published: (2026)

ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
by: Chakrabarty, Surajit, et al.
Published: (2025)

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
by: Ren, Yanwei, et al.
Published: (2025)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
by: Sun, Jinze, et al.
Published: (2024)

HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
by: Zhang, Yue, et al.
Published: (2024)

Graph Generative Pre-trained Transformer
by: Chen, Xiaohui, et al.
Published: (2025)

UniMAP: Universal SMILES-Graph Representation Learning
by: Feng, Shikun, et al.
Published: (2023)

Multi-Scenario Highway Lane-Change Intention Prediction: A Physics-Informed AI Framework for Three-Class Classification
by: Shi, Jiazhao, et al.
Published: (2025)

FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing
by: Barman, Pronob Kumar, et al.
Published: (2026)

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
by: Yin, Nan, et al.
Published: (2023)

A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction
by: Yan, Zimo, et al.
Published: (2025)

Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
by: Xu, Changxin, et al.
Published: (2024)

Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
by: Li, Jiahan, et al.
Published: (2022)

Demystifying the Optimal Fair Classifier in Multi-Class Classification
by: Zhang, Li, et al.
Published: (2026)

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)

BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning
by: Yang, Yi, et al.
Published: (2026)