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Methodology
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Deep Learning
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Graph Neural Networks
4495 directly classified papers
Papers per year
2006: 3
2009: 1
2010: 1
2011: 3
2012: 6
2013: 4
2014: 3
2015: 2
2016: 13
2017: 23
2018: 60
2019: 347
2020: 504
2021: 663
2022: 625
2023: 714
2024: 676
2025: 528
2026: 319
Papers
GET-UP: GEomeTric-Aware Depth Estimation with Radar Points UPsampling
WACV 2025
DDS: Decoupled Dynamic Scene-Graph Generation Network
WACV 2025
Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning
AAAI 2025
Domain Adaptive Unfolded Graph Neural Networks
AAAI 2025
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
AAAI 2025
BrepGiff: Lightweight Generation of Complex B-rep with 3D GAT Diffusion
CVPR 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
AAAI 2025
Injecting Structured Knowledge into LLMs via Graph Neural Networks
ACL 2025
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
AAAI 2025
ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation
CVPR 2025
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
AAAI 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
AAAI 2025
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
AAAI 2025
Dynamic Spectral Graph Anomaly Detection
AAAI 2025
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
AAAI 2025
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
AAAI 2025
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement
AAAI 2025
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
AAAI 2025
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views
AAAI 2025
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
AAAI 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
AAAI 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations
AAAI 2025
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
AAAI 2025
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing
AAAI 2025
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
COLING 2025
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