Cover Image

Simple Graph Condensation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Zhenbang, Wang, Yu, Liu, Shunyu, Wang, Huiqiong, Song, Mingli, Zheng, Tongya
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Disentangled Condensation for Large-scale Graphs
by: Xiao, Zhenbang, et al.
Published: (2024)

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
by: Wang, Yuwen, et al.
Published: (2024)

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
by: Wang, Yu, et al.
Published: (2024)

Graph Data Condensation via Self-expressive Graph Structure Reconstruction
by: Liu, Zhanyu, et al.
Published: (2024)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
by: Wang, Yu, et al.
Published: (2023)

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
by: Liu, Yanbei, et al.
Published: (2025)

Rethinking Federated Graph Learning: A Data Condensation Perspective
by: Zhang, Hao, et al.
Published: (2025)

Graph Fairness Learning under Distribution Shifts
by: Li, Yibo, et al.
Published: (2024)

Curriculum Negative Mining For Temporal Networks
by: Chen, Ziyue, et al.
Published: (2024)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
by: Qing, Yunpeng, et al.
Published: (2022)

SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs
by: Wang, Leyao, et al.
Published: (2024)

A Survey of Data-Efficient Graph Learning
by: Ju, Wei, et al.
Published: (2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
by: Ju, Wei, et al.
Published: (2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification
by: Ju, Wei, et al.
Published: (2024)

Bi-Level Graph Structure Learning for Next POI Recommendation
by: Wang, Liang, et al.
Published: (2024)

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
by: Wang, Zheng, et al.
Published: (2024)

IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
by: Zheng, Shenghe, et al.
Published: (2024)

Efficient Neural Common Neighbor for Temporal Graph Link Prediction
by: Zhang, Xiaohui, et al.
Published: (2024)

Towards Graph Prompt Learning: A Survey and Beyond
by: Long, Qingqing, et al.
Published: (2024)

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
by: Li, Xunkai, et al.
Published: (2024)

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
by: Hashemi, Mohammad, et al.
Published: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
by: Wang, Yifan, et al.
Published: (2024)

Temporal Graph Pattern Machine
by: Ma, Yijun, et al.
Published: (2026)

Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
by: Zhou, Wang-Tao, et al.
Published: (2025)

Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling
by: Hsu, Hung-Chun, et al.
Published: (2023)

Generative Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

Graph Foundation Models: A Comprehensive Survey
by: Wang, Zehong, et al.
Published: (2025)

GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models
by: Wang, Zhibin, et al.
Published: (2025)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)

Subgraph Pooling: Tackling Negative Transfer on Graphs
by: Wang, Zehong, et al.
Published: (2024)

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
by: Lu, Qincheng, et al.
Published: (2024)

Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
by: Luo, Yuankai, et al.
Published: (2023)

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
by: Wang, Shuo, et al.
Published: (2025)

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
by: Zhou, Yihe, et al.
Published: (2023)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)

SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
by: Hong, Ming-Yi, et al.
Published: (2024)

SimMLP: Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
by: Shen, Zhixiang, et al.
Published: (2024)