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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
Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks
AAAI 2026
MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation
AAAI 2026
Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval
AAAI 2026
Rethinking Multi-Instance Learning Through Graph-Driven Fusion: A Dual-Path Approach to Adaptive Representation
AAAI 2026
Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss
AAAI 2026
Discrete Structure Augmentation for Graph Convolutional Networks
AAAI 2026
Graph-Conditional Flow Matching for Relational Data Generation
AAAI 2026
Logical Characterizations of GNNs with Mean Aggregation
AAAI 2026
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
AAAI 2026
Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
AAAI 2026
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
AAAI 2026
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
AAAI 2026
Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
AAAI 2026
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
AAAI 2026
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
AAAI 2026
Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning
AAAI 2026
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
AAAI 2026
Learning Network Dismantling Without Handcrafted Inputs
AAAI 2026
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
AAAI 2026
T3former: Temporal Graph Classification with Topological Machine Learning
AAAI 2026
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
AAAI 2026
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
AAAI 2026
SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems
AAAI 2026
Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives
AAAI 2026
CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness
AAAI 2026
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