Cover Image

ARIEL: Adversarial Graph Contrastive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Shengyu, Jing, Baoyu, Zhu, Yada, Tong, Hanghang
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

STERLING: Synergistic Representation Learning on Bipartite Graphs
by: Jing, Baoyu, et al.
Published: (2023)

Heterogeneous Contrastive Learning for Foundation Models and Beyond
by: Zheng, Lecheng, et al.
Published: (2024)

Adversarial Bias: Data Poisoning Attacks on Fairness
by: Chan, Eunice, et al.
Published: (2025)

Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection
by: Fu, Dongqi, et al.
Published: (2024)

Neural Active Learning Beyond Bandits
by: Ban, Yikun, et al.
Published: (2024)

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
by: Wang, Haohui, et al.
Published: (2023)

Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)

AIM: Attributing, Interpreting, Mitigating Data Unfairness
by: Liu, Zhining, et al.
Published: (2024)

Adversarial Attacks on Fairness of Graph Neural Networks
by: Zhang, Binchi, et al.
Published: (2023)

PyG-SSL: A Graph Self-Supervised Learning Toolkit
by: Zheng, Lecheng, et al.
Published: (2024)

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
by: Yu, Qi, et al.
Published: (2025)

Automated Contrastive Learning Strategy Search for Time Series
by: Jing, Baoyu, et al.
Published: (2024)

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
by: Liu, Zhining, et al.
Published: (2025)

Graph Data Selection for Domain Adaptation: A Model-Free Approach
by: Li, Ting-Wei, et al.
Published: (2025)

Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
by: Qiu, Ruizhong, et al.
Published: (2025)

On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method
by: Cong, Weilin, et al.
Published: (2024)

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
by: Qiu, Ruizhong, et al.
Published: (2024)

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
by: Jing, Baoyu, et al.
Published: (2024)

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch
by: Feng, Shengyu, et al.
Published: (2024)

Certified Defense on the Fairness of Graph Neural Networks
by: Dong, Yushun, et al.
Published: (2023)

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
by: Bao, Wenxuan, et al.
Published: (2024)

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
by: Liu, Zhining, et al.
Published: (2025)

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
by: Zhao, Xinjian, et al.
Published: (2024)

Heterogeneous Graph Contrastive Learning with Spectral Augmentation
by: Zhang, Jing, et al.
Published: (2024)

Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning
by: Qiu, Ruizhong, et al.
Published: (2026)

Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs
by: Lin, Junhong, et al.
Published: (2025)

Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
by: Ko, Yunyong, et al.
Published: (2023)

BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)

Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
by: Shou, Yuntao, et al.
Published: (2024)

Deep Graph Anomaly Detection: A Survey and New Perspectives
by: Qiao, Hezhe, et al.
Published: (2024)

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

Taming Knowledge Conflicts in Language Models
by: Li, Gaotang, et al.
Published: (2025)

Multiplex Graph Contrastive Learning with Soft Negatives
by: Zhao, Zhenhao, et al.
Published: (2024)

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
by: Wang, Song, et al.
Published: (2025)

Less is More: Towards Simple Graph Contrastive Learning
by: Zhao, Yanan, et al.
Published: (2025)

Trustworthy Graph Neural Networks: Aspects, Methods and Trends
by: Zhang, He, et al.
Published: (2022)

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
by: Li, Zihao, et al.
Published: (2025)

Regularized Langevin Dynamics for Combinatorial Optimization
by: Feng, Shengyu, et al.
Published: (2025)

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
by: Ren, Jing, et al.
Published: (2025)

Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
by: Zhu, ZhiTeng, et al.
Published: (2025)