SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Xiangyu, Zhang, Xingyi, Chen, Lei, Yuan, Mingxuan, Wang, Sibo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024)
by: Dong, Xiangyu, et al.
Published: (2024)
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2023)
by: Dong, Xiangyu, et al.
Published: (2023)
FracAug: Fractional Augmentation boost Graph-level Anomaly Detection under Limited Supervision
by: Dong, Xiangyu, et al.
Published: (2025)
by: Dong, Xiangyu, et al.
Published: (2025)
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)
by: Li, Xiping, et al.
Published: (2025)
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
by: Chen, Jiazhen, et al.
Published: (2025)
by: Chen, Jiazhen, et al.
Published: (2025)
Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator
by: Zhang, Yusong, et al.
Published: (2024)
by: Zhang, Yusong, et al.
Published: (2024)
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection
by: Jo, Hayoung, et al.
Published: (2024)
by: Jo, Hayoung, et al.
Published: (2024)
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
by: Dong, Zehao, et al.
Published: (2023)
by: Dong, Zehao, et al.
Published: (2023)
PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems
by: Xue, Chang, et al.
Published: (2026)
by: Xue, Chang, et al.
Published: (2026)
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
by: Huang, Jincheng, et al.
Published: (2024)
by: Huang, Jincheng, et al.
Published: (2024)
Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025)
by: Quadir, A., et al.
Published: (2025)
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
by: Lin, Xixun, et al.
Published: (2026)
by: Lin, Xixun, et al.
Published: (2026)
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
by: Gu, Jing, et al.
Published: (2024)
by: Gu, Jing, et al.
Published: (2024)
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
by: Wang, Fuyi, et al.
Published: (2025)
by: Wang, Fuyi, et al.
Published: (2025)
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
by: Bei, Yuanchen, et al.
Published: (2024)
by: Bei, Yuanchen, et al.
Published: (2024)
Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective
by: Zhang, Xingyi, et al.
Published: (2024)
by: Zhang, Xingyi, et al.
Published: (2024)
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick
by: Wang, Xiyuan, et al.
Published: (2023)
by: Wang, Xiyuan, et al.
Published: (2023)
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)
by: Yuan, Peng, et al.
Published: (2024)
Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
by: Wang, Zhu, et al.
Published: (2024)
by: Wang, Zhu, et al.
Published: (2024)
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks
by: Zhang, Yiwei
Published: (2025)
by: Zhang, Yiwei
Published: (2025)
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem
by: Huang, Chen, et al.
Published: (2024)
by: Huang, Chen, et al.
Published: (2024)
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
by: Wang, Shouju, et al.
Published: (2025)
by: Wang, Shouju, et al.
Published: (2025)
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
by: Wang, Shilong, et al.
Published: (2024)
by: Wang, Shilong, et al.
Published: (2024)
Disambiguated Node Classification with Graph Neural Networks
by: Zhao, Tianxiang, et al.
Published: (2024)
by: Zhao, Tianxiang, et al.
Published: (2024)
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
by: Bei, Yuanchen, et al.
Published: (2024)
by: Bei, Yuanchen, et al.
Published: (2024)
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
by: Gu, Xizhi, et al.
Published: (2024)
by: Gu, Xizhi, et al.
Published: (2024)
Federated Learning with Limited Node Labels
by: Tang, Bisheng, et al.
Published: (2024)
by: Tang, Bisheng, et al.
Published: (2024)
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
by: Liu, Jiahui, et al.
Published: (2024)
by: Liu, Jiahui, et al.
Published: (2024)
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
by: Akujuobi, Uchenna, et al.
Published: (2019)
by: Akujuobi, Uchenna, et al.
Published: (2019)
LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)
by: Chen, Guoxuan, et al.
Published: (2025)
Towards More Accurate Full-Atom Antibody Co-Design
by: Wu, Jiayang, et al.
Published: (2025)
by: Wu, Jiayang, et al.
Published: (2025)
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
by: Song, Ying, et al.
Published: (2024)
by: Song, Ying, et al.
Published: (2024)
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2024)
by: Das, Siddhartha Shankar, et al.
Published: (2024)
DeltaGNN: Graph Neural Network with Information Flow Control
by: Mancini, Kevin, et al.
Published: (2025)
by: Mancini, Kevin, et al.
Published: (2025)
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
by: Soussia, Mayssa, et al.
Published: (2025)
by: Soussia, Mayssa, et al.
Published: (2025)
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
by: Xu, Shuaike, et al.
Published: (2024)
by: Xu, Shuaike, et al.
Published: (2024)
GNN-based Anomaly Detection for Encoded Network Traffic
by: Chattopadhyay, Anasuya, et al.
Published: (2024)
by: Chattopadhyay, Anasuya, et al.
Published: (2024)
Similar Items
-
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024) -
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2023) -
FracAug: Fractional Augmentation boost Graph-level Anomaly Detection under Limited Supervision
by: Dong, Xiangyu, et al.
Published: (2025) -
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025) -
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
by: Chen, Jiazhen, et al.
Published: (2025)