conftrace_

graph augmentation

45 papers

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Also known as

GA

Co-occurring keywords · papers mentioning both

graph contrastive learning (22) graph neural network (22) self-supervised learning (18) contrastive learning (14) node classification (10) representation learning (9) graph representation learning (7) graph representation (5) graph classification (5) spectral analysis (3)

Papers

From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy AAAI 2026 Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities ACL 2026 RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection AAAI 2026 Critical Node-aware Augmentation for Hypergraph Contrastive Learning IJCAI 2025 Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology AAAI 2025 Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance IJCAI 2025 Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations IJCAI 2025 TAG–EQA: Text–And–Graph for Event Question Answering via Structured Prompting Strategies EMNLP 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025 Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? AAAI 2025 A probability contrastive learning framework for 3D molecular representation learning NeurIPS 2024 Contrastive General Graph Matching with Adaptive Augmentation Sampling IJCAI 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning UAI 2024 Graph-Aware Contrasting for Multivariate Time-Series Classification AAAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Graph Contrastive Learning with Reinforcement Augmentation IJCAI 2024 Graph Neural Networks with Soft Association between Topology and Attribute AAAI 2024 iGraphMix: Input Graph Mixup Method for Node Classification ICLR 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NeurIPS 2024 Road Network Representation Learning with the Third Law of Geography NeurIPS 2024 Unified Graph Augmentations for Generalized Contrastive Learning on Graphs NeurIPS 2024 Boosting Graph Contrastive Learning via Graph Contrastive Saliency ICML 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023