:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chi, Hongliang, Qi, Cong, Wang, Suhang, Ma, Yao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.02321
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
by: Ma, Qian, et al.
Published: (2024)

Towards Graph Foundation Models: A Transferability Perspective
by: Wang, Yuxiang, et al.
Published: (2025)

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
by: Chi, Hongliang, et al.
Published: (2025)

Precedence-Constrained Winter Value for Effective Graph Data Valuation
by: Chi, Hongliang, et al.
Published: (2024)

Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
by: Qian, Xiaowei, et al.
Published: (2024)

Simple and Asymmetric Graph Contrastive Learning without Augmentations
by: Xiao, Teng, et al.
Published: (2023)

Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
by: Li, Quan, et al.
Published: (2024)

Counterfactual Learning on Graphs: A Survey
by: Guo, Zhimeng, et al.
Published: (2023)

Shape-aware Graph Spectral Learning
by: Xu, Junjie, et al.
Published: (2023)

Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2026)

Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
by: Xiao, Teng, et al.
Published: (2024)

Disambiguated Node Classification with Graph Neural Networks
by: Zhao, Tianxiang, et al.
Published: (2024)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
by: Xu, Junjie, et al.
Published: (2024)

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
by: Dai, Enyan, et al.
Published: (2024)

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
by: Zhao, Tianxiang, et al.
Published: (2024)

RANA: Robust Active Learning for Noisy Network Alignment
by: Nan, Yixuan, et al.
Published: (2025)

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints
by: Al-Lawati, Ali, et al.
Published: (2025)

Active Learning with a Noisy Annotator
by: Shafir, Netta, et al.
Published: (2025)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
by: Wang, Yilong, et al.
Published: (2025)

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
by: Zhang, Zhiwei, et al.
Published: (2024)

Improve Cost Efficiency of Active Learning over Noisy Dataset
by: Chong, Zan-Kai, et al.
Published: (2024)

Uncertainty-Aware Robust Learning on Noisy Graphs
by: Chen, Shuyi, et al.
Published: (2023)

Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
by: Wang, Yilong, et al.
Published: (2025)

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
by: Zhang, Liangliang, et al.
Published: (2025)

Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
by: Wei, Qi, et al.
Published: (2024)

Stealing Training Graphs from Graph Neural Networks
by: Lin, Minhua, et al.
Published: (2024)

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
by: Wang, Fali, et al.
Published: (2024)

Data Deletion for Linear Regression with Noisy SGD
by: Xia, Zhangjie, et al.
Published: (2024)

Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures
by: Xie, Wen-Bo, et al.
Published: (2025)

Unlearning Inversion Attacks for Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2025)

Robustness Inspired Graph Backdoor Defense
by: Zhang, Zhiwei, et al.
Published: (2024)

Interpretable Style Takagi-Sugeno-Kang Fuzzy Clustering
by: Gu, Suhang, et al.
Published: (2025)

Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
by: Lin, Minhua, et al.
Published: (2024)

Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoning
by: Fan, Shiqi, et al.
Published: (2026)

Variational Rectification Inference for Learning with Noisy Labels
by: Sun, Haoliang, et al.
Published: (2026)

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
by: Wang, Yingxu, et al.
Published: (2025)

Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy
by: Chowdhury, Jawad, et al.
Published: (2026)

Uncertainty for Active Learning on Graphs
by: Fuchsgruber, Dominik, et al.
Published: (2024)

Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
by: Ma, Shujie, et al.
Published: (2024)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)