Guardado en:
| Autores principales: | Chi, Hongliang, Qi, Cong, Wang, Suhang, Ma, Yao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2402.02321 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
por: Ma, Qian, et al.
Publicado: (2024)
por: Ma, Qian, et al.
Publicado: (2024)
Towards Graph Foundation Models: A Transferability Perspective
por: Wang, Yuxiang, et al.
Publicado: (2025)
por: Wang, Yuxiang, et al.
Publicado: (2025)
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
por: Chi, Hongliang, et al.
Publicado: (2025)
por: Chi, Hongliang, et al.
Publicado: (2025)
Precedence-Constrained Winter Value for Effective Graph Data Valuation
por: Chi, Hongliang, et al.
Publicado: (2024)
por: Chi, Hongliang, et al.
Publicado: (2024)
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
por: Qian, Xiaowei, et al.
Publicado: (2024)
por: Qian, Xiaowei, et al.
Publicado: (2024)
Simple and Asymmetric Graph Contrastive Learning without Augmentations
por: Xiao, Teng, et al.
Publicado: (2023)
por: Xiao, Teng, et al.
Publicado: (2023)
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
por: Li, Quan, et al.
Publicado: (2024)
por: Li, Quan, et al.
Publicado: (2024)
Counterfactual Learning on Graphs: A Survey
por: Guo, Zhimeng, et al.
Publicado: (2023)
por: Guo, Zhimeng, et al.
Publicado: (2023)
Shape-aware Graph Spectral Learning
por: Xu, Junjie, et al.
Publicado: (2023)
por: Xu, Junjie, et al.
Publicado: (2023)
Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
por: Zhang, Jiahao, et al.
Publicado: (2026)
por: Zhang, Jiahao, et al.
Publicado: (2026)
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
por: Xiao, Teng, et al.
Publicado: (2024)
por: Xiao, Teng, et al.
Publicado: (2024)
Disambiguated Node Classification with Graph Neural Networks
por: Zhao, Tianxiang, et al.
Publicado: (2024)
por: Zhao, Tianxiang, et al.
Publicado: (2024)
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
por: Xu, Junjie, et al.
Publicado: (2024)
por: Xu, Junjie, et al.
Publicado: (2024)
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
por: Dai, Enyan, et al.
Publicado: (2024)
por: Dai, Enyan, et al.
Publicado: (2024)
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
por: Zhao, Tianxiang, et al.
Publicado: (2024)
por: Zhao, Tianxiang, et al.
Publicado: (2024)
RANA: Robust Active Learning for Noisy Network Alignment
por: Nan, Yixuan, et al.
Publicado: (2025)
por: Nan, Yixuan, et al.
Publicado: (2025)
Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints
por: Al-Lawati, Ali, et al.
Publicado: (2025)
por: Al-Lawati, Ali, et al.
Publicado: (2025)
Active Learning with a Noisy Annotator
por: Shafir, Netta, et al.
Publicado: (2025)
por: Shafir, Netta, et al.
Publicado: (2025)
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
por: Wang, Yilong, et al.
Publicado: (2025)
por: Wang, Yilong, et al.
Publicado: (2025)
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
por: Zhang, Zhiwei, et al.
Publicado: (2024)
por: Zhang, Zhiwei, et al.
Publicado: (2024)
Improve Cost Efficiency of Active Learning over Noisy Dataset
por: Chong, Zan-Kai, et al.
Publicado: (2024)
por: Chong, Zan-Kai, et al.
Publicado: (2024)
Uncertainty-Aware Robust Learning on Noisy Graphs
por: Chen, Shuyi, et al.
Publicado: (2023)
por: Chen, Shuyi, et al.
Publicado: (2023)
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
por: Wang, Yilong, et al.
Publicado: (2025)
por: Wang, Yilong, et al.
Publicado: (2025)
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
por: Zhang, Liangliang, et al.
Publicado: (2025)
por: Zhang, Liangliang, et al.
Publicado: (2025)
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
por: Wei, Qi, et al.
Publicado: (2024)
por: Wei, Qi, et al.
Publicado: (2024)
Stealing Training Graphs from Graph Neural Networks
por: Lin, Minhua, et al.
Publicado: (2024)
por: Lin, Minhua, et al.
Publicado: (2024)
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
por: Wang, Fali, et al.
Publicado: (2024)
por: Wang, Fali, et al.
Publicado: (2024)
Data Deletion for Linear Regression with Noisy SGD
por: Xia, Zhangjie, et al.
Publicado: (2024)
por: Xia, Zhangjie, et al.
Publicado: (2024)
Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures
por: Xie, Wen-Bo, et al.
Publicado: (2025)
por: Xie, Wen-Bo, et al.
Publicado: (2025)
Unlearning Inversion Attacks for Graph Neural Networks
por: Zhang, Jiahao, et al.
Publicado: (2025)
por: Zhang, Jiahao, et al.
Publicado: (2025)
Robustness Inspired Graph Backdoor Defense
por: Zhang, Zhiwei, et al.
Publicado: (2024)
por: Zhang, Zhiwei, et al.
Publicado: (2024)
Interpretable Style Takagi-Sugeno-Kang Fuzzy Clustering
por: Gu, Suhang, et al.
Publicado: (2025)
por: Gu, Suhang, et al.
Publicado: (2025)
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
por: Lin, Minhua, et al.
Publicado: (2024)
por: Lin, Minhua, et al.
Publicado: (2024)
Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoning
por: Fan, Shiqi, et al.
Publicado: (2026)
por: Fan, Shiqi, et al.
Publicado: (2026)
Variational Rectification Inference for Learning with Noisy Labels
por: Sun, Haoliang, et al.
Publicado: (2026)
por: Sun, Haoliang, et al.
Publicado: (2026)
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
por: Wang, Yingxu, et al.
Publicado: (2025)
por: Wang, Yingxu, et al.
Publicado: (2025)
Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy
por: Chowdhury, Jawad, et al.
Publicado: (2026)
por: Chowdhury, Jawad, et al.
Publicado: (2026)
Uncertainty for Active Learning on Graphs
por: Fuchsgruber, Dominik, et al.
Publicado: (2024)
por: Fuchsgruber, Dominik, et al.
Publicado: (2024)
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
por: Ma, Shujie, et al.
Publicado: (2024)
por: Ma, Shujie, et al.
Publicado: (2024)
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
por: Zhao, Chu, et al.
Publicado: (2024)
por: Zhao, Chu, et al.
Publicado: (2024)
Ejemplares similares
-
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
por: Ma, Qian, et al.
Publicado: (2024) -
Towards Graph Foundation Models: A Transferability Perspective
por: Wang, Yuxiang, et al.
Publicado: (2025) -
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
por: Chi, Hongliang, et al.
Publicado: (2025) -
Precedence-Constrained Winter Value for Effective Graph Data Valuation
por: Chi, Hongliang, et al.
Publicado: (2024) -
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
por: Qian, Xiaowei, et al.
Publicado: (2024)