:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sun, Qingyun, Chen, Ziying, Yang, Beining, Ji, Cheng, Fu, Xingcheng, Zhou, Sheng, Peng, Hao, Li, Jianxin, Yu, Philip S.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2407.00615
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
by: Fu, Xingcheng, et al.
Published: (2024)

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

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
by: Qin, Jiawen, et al.
Published: (2024)

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

Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments
by: Sun, Qingyun, et al.
Published: (2025)

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
by: Qin, Jiawen, et al.
Published: (2024)

Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models
by: Yuan, Haonan, et al.
Published: (2026)

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

Prompt-based Unifying Inference Attack on Graph Neural Networks
by: Wei, Yuecen, et al.
Published: (2024)

GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
by: Yuan, Haonan, et al.
Published: (2025)

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

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
by: Zhao, Xinyu, et al.
Published: (2026)

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

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

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
by: Yuan, Haonan, et al.
Published: (2024)

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

Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)

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

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
by: Guo, Zihao, et al.
Published: (2025)

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

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

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

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

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning
by: Sun, Qingyun, et al.
Published: (2025)

FairGC: Fairness-aware Graph Condensation
by: Gao, Yihan, et al.
Published: (2026)

Graph Condensation for Open-World Graph Learning
by: Gao, Xinyi, et al.
Published: (2024)

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

RobGC: Towards Robust Graph Condensation
by: Gao, Xinyi, et al.
Published: (2024)

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
by: Luo, Jiayi, et al.
Published: (2025)

GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
by: Gong, Shengbo, et al.
Published: (2024)

Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
by: Zhang, Tianle, et al.
Published: (2024)

TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
by: Li, Zhe, et al.
Published: (2024)

Unified Low-rank Compression Framework for Click-through Rate Prediction
by: Yu, Hao, et al.
Published: (2024)

Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG
by: Yuan, Haonan, et al.
Published: (2026)

OpenGT: A Comprehensive Benchmark For Graph Transformers
by: Tang, Jiachen, et al.
Published: (2025)

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
by: Gao, Yisen, et al.
Published: (2025)

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
by: Hu, Shiyan, et al.
Published: (2026)

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
by: Song, Yudan, et al.
Published: (2025)

A Survey on Graph Condensation
by: Xu, Hongjia, et al.
Published: (2024)