conftrace_

graph augmentation

42 papers

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Also known as

GA

Co-occurring keywords

graph contrastive learning (112) graph neural network (3962) self-supervised learning (3777) contrastive learning (4032) node classification (482) graph representation learning (246) representation learning (6206) graph representation (360) graph classification (212) spectral analysis (239)

Papers

From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy AAAI 2026
RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection AAAI 2026
Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities ACL 2026
Critical Node-aware Augmentation for Hypergraph Contrastive Learning IJCAI 2025
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? AAAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology AAAI 2025
TAG–EQA: Text–And–Graph for Event Question Answering via Structured Prompting Strategies EMNLP 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
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NIPS 2024
Graph Contrastive Learning with Reinforcement Augmentation IJCAI 2024
A probability contrastive learning framework for 3D molecular representation learning NIPS 2024
Contrastive General Graph Matching with Adaptive Augmentation Sampling IJCAI 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs NIPS 2024
Graph Neural Networks with Soft Association between Topology and Attribute AAAI 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification AAAI 2024
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024
Provable Training for Graph Contrastive Learning NIPS 2023
Spectral Augmentations for Graph Contrastive Learning AISTATS 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023
Neighbor Contrastive Learning on Learnable Graph Augmentation AAAI 2023
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023
Randomized Schur Complement Views for Graph Contrastive Learning ICML 2023