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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
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
AAAI 2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
AAAI 2024
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
AAAI 2024
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI 2024
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
AAAI 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
Link Prediction in Multilayer Networks via Cross-Network Embedding
AAAI 2024
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
AAAI 2024
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
AAAI 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
AAAI 2024
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
AAAI 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
AAAI 2024
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
AAAI 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
AAAI 2024
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Graph Neural Networks with Soft Association between Topology and Attribute
AAAI 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
AAAI 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
AAAI 2024
Temporal Graph Contrastive Learning for Sequential Recommendation
AAAI 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
AAAI 2024
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