Cover Image

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Xingcheng, Gao, Yisen, Yang, Beining, Wu, Yuxuan, Qian, Haodong, Sun, Qingyun, Li, Xianxian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discrete Curvature Graph Information Bottleneck
by: Fu, Xingcheng, et al.
Published: (2024)

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
by: Gao, Yisen, et al.
Published: (2025)

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
by: Huang, Yi, et al.
Published: (2025)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation
by: Fu, Xingcheng, et al.
Published: (2024)

Robust Graph Condensation via Classification Complexity Mitigation
by: Luo, Jiayi, et al.
Published: (2025)

Dynamic Graph Information Bottleneck
by: Yuan, Haonan, et al.
Published: (2024)

GC-Bench: An Open and Unified Benchmark for Graph Condensation
by: Sun, Qingyun, et al.
Published: (2024)

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation
by: Yuan, Haonan, et al.
Published: (2026)

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
by: Guo, Zihao, et al.
Published: (2024)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
by: Fu, Xingcheng, et al.
Published: (2026)

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
by: Wei, Yuecen, et al.
Published: (2023)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
by: Yang, Xinyu, et al.
Published: (2024)

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
by: Wang, Jinyan, et al.
Published: (2025)

C$^{2}$TC: A Training-Free Framework for Efficient Tabular Data Condensation
by: Xu, Sijia, et al.
Published: (2026)

Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
by: Nganjimi, Pafue Christy, et al.
Published: (2025)

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
by: Qiao, Lianpeng, et al.
Published: (2025)

Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression
by: Kwon, Taehyung, et al.
Published: (2026)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
by: Liu, Zhouyang, et al.
Published: (2025)

SA$^{2}$GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
by: Shi, Junhua, et al.
Published: (2025)

View-based Explanations for Graph Neural Networks
by: Chen, Tingyang, et al.
Published: (2024)

Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
by: Weng, Han, et al.
Published: (2025)

Parachute: Single-Pass Bi-Directional Information Passing
by: Stoian, Mihail, et al.
Published: (2025)

Breaking the Storage-Compute Bottleneck in Billion-Scale ANNS: A GPU-Driven Asynchronous I/O Framework
by: Xiao, Yang, et al.
Published: (2025)

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

Vector Linking via Cross-Model Local Isometric Consistency
by: Chen, Ziying, et al.
Published: (2026)

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
by: Zheng, Zhiyuan, et al.
Published: (2025)

Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning
by: Huang, Yi, et al.
Published: (2026)

Data Driven Decision Making with Time Series and Spatio-temporal Data
by: Yang, Bin, et al.
Published: (2025)

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
by: Luo, Jiayi, et al.
Published: (2025)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching--Extended Version
by: Miao, Hao, et al.
Published: (2024)

CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations
by: Tang, Benzhao, et al.
Published: (2026)

Top Ten Challenges Towards Agentic Neural Graph Databases
by: Bai, Jiaxin, et al.
Published: (2025)

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model
by: Gao, Yisen, et al.
Published: (2025)

GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset
by: Amiri, Hossein, et al.
Published: (2024)

Condensed Representation for Snapshot-Based RDF Graphs
by: Gil, Jey Puget, et al.
Published: (2025)

CluStRE: Streaming Graph Clustering with Multi-Stage Refinement
by: Chhabra, Adil, et al.
Published: (2025)

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
by: Liang, Yuxuan, et al.
Published: (2025)

Interpreting Graph Inference with Skyline Explanations
by: Qiu, Dazhuo, et al.
Published: (2025)

Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025)