Enhancing Signed Graph Neural Networks through Curriculum-Based Training
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Zeyu, Li, Lu, Ji, Xingyu, Zhao, Kaiqi, Zhu, Xiaofeng, Yu, Philip S., Li, Jiawei, Wang, Maojun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Explainable Graph Transformer for Link Sign Prediction
by: Li, Lu, et al.
Published: (2024)
by: Li, Lu, et al.
Published: (2024)
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations
by: Pan, Yiru, et al.
Published: (2024)
by: Pan, Yiru, et al.
Published: (2024)
Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process
by: Ji, Xingyu, et al.
Published: (2024)
by: Ji, Xingyu, et al.
Published: (2024)
Mitigating Degree Bias in Signed Graph Neural Networks
by: He, Fang, et al.
Published: (2024)
by: He, Fang, et al.
Published: (2024)
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
by: Zhang, Zeyu, et al.
Published: (2024)
by: Zhang, Zeyu, et al.
Published: (2024)
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
by: Mo, Yujie, et al.
Published: (2024)
by: Mo, Yujie, et al.
Published: (2024)
Progressive Element-wise Gradient Estimation for Neural Network Quantization
by: Zhao, Kaiqi
Published: (2025)
by: Zhao, Kaiqi
Published: (2025)
A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks
by: Wu, Peiru, et al.
Published: (2025)
by: Wu, Peiru, et al.
Published: (2025)
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
by: Jia, Yuang, et al.
Published: (2025)
by: Jia, Yuang, et al.
Published: (2025)
Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks
by: Regier, Derek, et al.
Published: (2026)
by: Regier, Derek, et al.
Published: (2026)
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)
by: Xie, Beini, et al.
Published: (2024)
Signed Graph Representation Learning: A Survey
by: Zhang, Zeyu, et al.
Published: (2024)
by: Zhang, Zeyu, et al.
Published: (2024)
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
by: Zhang, Hongyuan, et al.
Published: (2023)
by: Zhang, Hongyuan, et al.
Published: (2023)
Enhancing Sign Language Detection through Mediapipe and Convolutional Neural Networks (CNN)
by: Verma, Aditya Raj, et al.
Published: (2024)
by: Verma, Aditya Raj, et al.
Published: (2024)
Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks
by: Yu, Ke, et al.
Published: (2026)
by: Yu, Ke, et al.
Published: (2026)
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
by: Wang, Ting, et al.
Published: (2025)
by: Wang, Ting, et al.
Published: (2025)
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
by: Wu, Yiqing, et al.
Published: (2024)
by: Wu, Yiqing, et al.
Published: (2024)
GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training
by: Bai, Yuyang, et al.
Published: (2026)
by: Bai, Yuyang, et al.
Published: (2026)
KAN KAN Buff Signed Graph Neural Networks?
by: Shebaro, Muhieddine, et al.
Published: (2025)
by: Shebaro, Muhieddine, et al.
Published: (2025)
Graph Neural Networks for Graphs with Heterophily: A Survey
by: Zheng, Xin, et al.
Published: (2022)
by: Zheng, Xin, et al.
Published: (2022)
Spiking Graph Neural Network on Riemannian Manifolds
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks
by: Xia, Kaiwen, et al.
Published: (2024)
by: Xia, Kaiwen, et al.
Published: (2024)
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)
Enhancing Spectral Graph Neural Networks with LLM-Predicted Homophily
by: Lu, Kangkang, et al.
Published: (2025)
by: Lu, Kangkang, et al.
Published: (2025)
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
by: Wang, Daixin, et al.
Published: (2024)
by: Wang, Daixin, et al.
Published: (2024)
Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification
by: Sun, Jiawei, et al.
Published: (2025)
by: Sun, Jiawei, et al.
Published: (2025)
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks
by: Ge, Qingqing, et al.
Published: (2023)
by: Ge, Qingqing, et al.
Published: (2023)
Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
by: Jiang, Kaiqi, et al.
Published: (2025)
by: Jiang, Kaiqi, et al.
Published: (2025)
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)
A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets
by: Liu, Wenjie, et al.
Published: (2023)
by: Liu, Wenjie, et al.
Published: (2023)
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
by: Wong, Zhen Hao, et al.
Published: (2024)
by: Wong, Zhen Hao, et al.
Published: (2024)
Generalization of Graph Neural Networks through the Lens of Homomorphism
by: Li, Shouheng, et al.
Published: (2024)
by: Li, Shouheng, et al.
Published: (2024)
Curriculum Graph Machine Learning: A Survey
by: Li, Haoyang, et al.
Published: (2023)
by: Li, Haoyang, et al.
Published: (2023)
Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2025)
by: Sirohi, Anuj Kumar, et al.
Published: (2025)
Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
Cyclic Neural Network
by: Yang, Liangwei, et al.
Published: (2024)
by: Yang, Liangwei, et al.
Published: (2024)
Certified Signed Graph Unlearning
by: Zhao, Junpeng, et al.
Published: (2025)
by: Zhao, Junpeng, et al.
Published: (2025)
Securing Traffic Sign Recognition Systems in Autonomous Vehicles
by: Hapuarachchi, Thushari, et al.
Published: (2025)
by: Hapuarachchi, Thushari, et al.
Published: (2025)
Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships
by: Zou, Qi, et al.
Published: (2024)
by: Zou, Qi, et al.
Published: (2024)
Accelerating Storage-Based Training for Graph Neural Networks
by: Jang, Myung-Hwan, et al.
Published: (2026)
by: Jang, Myung-Hwan, et al.
Published: (2026)
Similar Items
-
Self-Explainable Graph Transformer for Link Sign Prediction
by: Li, Lu, et al.
Published: (2024) -
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations
by: Pan, Yiru, et al.
Published: (2024) -
Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process
by: Ji, Xingyu, et al.
Published: (2024) -
Mitigating Degree Bias in Signed Graph Neural Networks
by: He, Fang, et al.
Published: (2024) -
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
by: Zhang, Zeyu, et al.
Published: (2024)