Saved in:
| Main Authors: | Behmanesh, Maysam, Ovsjanikov, Maks |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.15270 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
by: Behmanesh, Maysam, et al.
Published: (2025)
by: Behmanesh, Maysam, et al.
Published: (2025)
Memory-Scalable and Simplified Functional Map Learning
by: Magnet, Robin, et al.
Published: (2024)
by: Magnet, Robin, et al.
Published: (2024)
Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective
by: Turan, Erkan, et al.
Published: (2026)
by: Turan, Erkan, et al.
Published: (2026)
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties
by: Mirzaeifard, Reza, et al.
Published: (2024)
by: Mirzaeifard, Reza, et al.
Published: (2024)
Variational Graph Contrastive Learning
by: Xie, Shifeng, et al.
Published: (2024)
by: Xie, Shifeng, et al.
Published: (2024)
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
by: Wu, Lirong, et al.
Published: (2024)
by: Wu, Lirong, et al.
Published: (2024)
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
by: Jung, Heesoo, et al.
Published: (2025)
by: Jung, Heesoo, et al.
Published: (2025)
Learning Graph Node Embeddings by Smooth Pair Sampling
by: Kutzkov, Konstantin
Published: (2025)
by: Kutzkov, Konstantin
Published: (2025)
Frozen Forecasting: A Unified Evaluation
by: Walker, Jacob C, et al.
Published: (2025)
by: Walker, Jacob C, et al.
Published: (2025)
CLDG: Contrastive Learning on Dynamic Graphs
by: Xu, Yiming, et al.
Published: (2024)
by: Xu, Yiming, et al.
Published: (2024)
Self-Reinforced Graph Contrastive Learning
by: Hsieh, Chou-Ying, et al.
Published: (2025)
by: Hsieh, Chou-Ying, et al.
Published: (2025)
Graph Contrastive Learning with Cohesive Subgraph Awareness
by: Wu, Yucheng, et al.
Published: (2024)
by: Wu, Yucheng, et al.
Published: (2024)
Global Concept Explanations for Graphs by Contrastive Learning
by: Teufel, Jonas, et al.
Published: (2024)
by: Teufel, Jonas, et al.
Published: (2024)
TopoGCL: Topological Graph Contrastive Learning
by: Chen, Yuzhou, et al.
Published: (2024)
by: Chen, Yuzhou, et al.
Published: (2024)
Oversmoothing: A Nightmare for Graph Contrastive Learning?
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
Dual-Kernel Graph Community Contrastive Learning
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
by: Fan, Kaizhe, et al.
Published: (2024)
by: Fan, Kaizhe, 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)
Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
by: Zhu, ZhiTeng, et al.
Published: (2025)
by: Zhu, ZhiTeng, et al.
Published: (2025)
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
by: Lee, Vint, et al.
Published: (2023)
by: Lee, Vint, et al.
Published: (2023)
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
by: Chen, Mulin, et al.
Published: (2024)
by: Chen, Mulin, et al.
Published: (2024)
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
by: Wu, Junran, et al.
Published: (2024)
by: Wu, Junran, et al.
Published: (2024)
LocalGCL: Local-aware Contrastive Learning for Graphs
by: Jiang, Haojun, et al.
Published: (2024)
by: Jiang, Haojun, et al.
Published: (2024)
Tensor-Fused Multi-View Graph Contrastive Learning
by: Wu, Yujia, et al.
Published: (2024)
by: Wu, Yujia, et al.
Published: (2024)
Dual-perspective Cross Contrastive Learning in Graph Transformers
by: Yao, Zelin, et al.
Published: (2024)
by: Yao, Zelin, et al.
Published: (2024)
Perfect Alignment May be Poisonous to Graph Contrastive Learning
by: Liu, Jingyu, et al.
Published: (2023)
by: Liu, Jingyu, et al.
Published: (2023)
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
by: Ren, Jing, et al.
Published: (2025)
by: Ren, Jing, et al.
Published: (2025)
SPGCL: Simple yet Powerful Graph Contrastive Learning via SVD-Guided Structural Perturbation
by: Deng, Hao, et al.
Published: (2026)
by: Deng, Hao, et al.
Published: (2026)
CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
by: Zhang, Tianyu, et al.
Published: (2021)
by: Zhang, Tianyu, et al.
Published: (2021)
Improving Semi-Supervised Contrastive Learning via Entropy-Weighted Confidence Integration of Anchor-Positive Pairs
by: Nakayama, Shogo, et al.
Published: (2026)
by: Nakayama, Shogo, et al.
Published: (2026)
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
by: Lin, Zhenyu, et al.
Published: (2024)
by: Lin, Zhenyu, 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)
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift
by: Zhang, Jiaqiang, et al.
Published: (2024)
by: Zhang, Jiaqiang, et al.
Published: (2024)
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
by: Ning, Zhiyuan, et al.
Published: (2025)
by: Ning, Zhiyuan, et al.
Published: (2025)
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
by: Zhang, Gehang, et al.
Published: (2023)
by: Zhang, Gehang, et al.
Published: (2023)
Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift
by: Zeng, Fanlong, et al.
Published: (2025)
by: Zeng, Fanlong, et al.
Published: (2025)
Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
by: Zhang, Yifei, et al.
Published: (2023)
by: Zhang, Yifei, et al.
Published: (2023)
AtomSurf : Surface Representation for Learning on Protein Structures
by: Mallet, Vincent, et al.
Published: (2023)
by: Mallet, Vincent, et al.
Published: (2023)
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
by: Arroyo, Álvaro, et al.
Published: (2025)
by: Arroyo, Álvaro, et al.
Published: (2025)
Proximity-based Self-Federated Learning
by: Domini, Davide, et al.
Published: (2024)
by: Domini, Davide, et al.
Published: (2024)
Similar Items
-
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
by: Behmanesh, Maysam, et al.
Published: (2025) -
Memory-Scalable and Simplified Functional Map Learning
by: Magnet, Robin, et al.
Published: (2024) -
Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective
by: Turan, Erkan, et al.
Published: (2026) -
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties
by: Mirzaeifard, Reza, et al.
Published: (2024) -
Variational Graph Contrastive Learning
by: Xie, Shifeng, et al.
Published: (2024)