GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
Fuente:
arXiv
Saved in:
| Main Authors: | Ju, Wei, Gu, Yiyang, Mao, Zhengyang, Qiao, Ziyue, Qin, Yifang, Luo, Xiao, Xiong, Hui, Zhang, Ming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cluster-guided Contrastive Class-imbalanced Graph Classification
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Hypergraph-enhanced Dual Semi-supervised Graph Classification
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Towards Graph Contrastive Learning: A Survey and Beyond
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
by: Qin, Yifang, et al.
Published: (2024)
by: Qin, Yifang, et al.
Published: (2024)
Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends
by: Li, Hourun, et al.
Published: (2024)
by: Li, Hourun, et al.
Published: (2024)
Learning Graph ODE for Continuous-Time Sequential Recommendation
by: Qin, Yifang, et al.
Published: (2023)
by: Qin, Yifang, et al.
Published: (2023)
Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
by: Qiao, Ziyue, et al.
Published: (2024)
by: Qiao, Ziyue, 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)
by: Ju, Wei, et al.
Published: (2024)
A Comprehensive Survey on Deep Graph Representation Learning
by: Ju, Wei, et al.
Published: (2023)
by: Ju, Wei, et al.
Published: (2023)
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction
by: Ju, Wei, et al.
Published: (2026)
by: Ju, Wei, et al.
Published: (2026)
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
by: Sun, Qingqiang, et al.
Published: (2024)
by: Sun, Qingqiang, et al.
Published: (2024)
Semi-supervised Domain Adaptation in Graph Transfer Learning
by: Qiao, Ziyue, et al.
Published: (2023)
by: Qiao, Ziyue, et al.
Published: (2023)
GCAL: Adapting Graph Models to Evolving Domain Shifts
by: Qiao, Ziyue, et al.
Published: (2025)
by: Qiao, Ziyue, et al.
Published: (2025)
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)
by: Xu, Jiaxing, et al.
Published: (2023)
Contrastive Multi-View Graph Hashing
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
by: Wang, Pengyun, et al.
Published: (2024)
by: Wang, Pengyun, et al.
Published: (2024)
Interests Burn-down Diffusion Process for Personalized Collaborative Filtering
by: Qin, Yifang, et al.
Published: (2026)
by: Qin, Yifang, et al.
Published: (2026)
Unifying Graph Contrastive Learning via Graph Message Augmentation
by: Zhang, Ziyan, et al.
Published: (2024)
by: Zhang, Ziyan, et al.
Published: (2024)
Text-Only Data Synthesis for Vision Language Model Training
by: Yu, Xiaomin, et al.
Published: (2025)
by: Yu, Xiaomin, et al.
Published: (2025)
Out-of-Distribution Graph Models Merging
by: Wang, Yidi, et al.
Published: (2025)
by: Wang, Yidi, et al.
Published: (2025)
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
by: Ning, Zhiyuan, et al.
Published: (2025)
by: Ning, Zhiyuan, et al.
Published: (2025)
Metadata-Enhanced Speech Emotion Recognition: Augmented Residual Integration and Co-Attention in Two-Stage Fine-Tuning
by: Wan, Zixiang, et al.
Published: (2024)
by: Wan, Zixiang, et al.
Published: (2024)
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
by: Zhao, Xinjian, et al.
Published: (2024)
by: Zhao, Xinjian, et al.
Published: (2024)
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis
by: Guo, Weiyu, et al.
Published: (2024)
by: Guo, Weiyu, et al.
Published: (2024)
Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
by: Xiao, Huaiyuan, et al.
Published: (2025)
by: Xiao, Huaiyuan, et al.
Published: (2025)
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
by: Nemati, Narges, et al.
Published: (2025)
by: Nemati, Narges, et al.
Published: (2025)
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
by: Chen, Zheyu, et al.
Published: (2025)
by: Chen, Zheyu, et al.
Published: (2025)
Tensor-Fused Multi-View Graph Contrastive Learning
by: Wu, Yujia, et al.
Published: (2024)
by: Wu, Yujia, et al.
Published: (2024)
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
by: Feng, Jiadong, et al.
Published: (2024)
by: Feng, Jiadong, et al.
Published: (2024)
PGODE: Towards High-quality System Dynamics Modeling
by: Luo, Xiao, et al.
Published: (2023)
by: Luo, Xiao, et al.
Published: (2023)
AdvGPS: Adversarial GPS for Multi-Agent Perception Attack
by: Li, Jinlong, et al.
Published: (2024)
by: Li, Jinlong, et al.
Published: (2024)
Relational Database Augmented Large Language Model
by: Qin, Zongyue, et al.
Published: (2024)
by: Qin, Zongyue, et al.
Published: (2024)
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
by: Wang, Yifan, et al.
Published: (2024)
by: Wang, Yifan, et al.
Published: (2024)
HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
by: Saifuddin, Khaled Mohammed, et al.
Published: (2025)
by: Saifuddin, Khaled Mohammed, et al.
Published: (2025)
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
by: Liu, Ming-Hui, et al.
Published: (2025)
by: Liu, Ming-Hui, et al.
Published: (2025)
Similar Items
-
Cluster-guided Contrastive Class-imbalanced Graph Classification
by: Ju, Wei, et al.
Published: (2024) -
Hypergraph-enhanced Dual Semi-supervised Graph Classification
by: Ju, Wei, et al.
Published: (2024) -
Towards Graph Contrastive Learning: A Survey and Beyond
by: Ju, Wei, et al.
Published: (2024) -
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
by: Qin, Yifang, et al.
Published: (2024) -
Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends
by: Li, Hourun, et al.
Published: (2024)