Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Architectures
Deep Learning
›
Architectures
›
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
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
AAAI 2024
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
AAAI 2024
Improving Distinguishability of Class for Graph Neural Networks
AAAI 2024
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
AAAI 2024
Complete Neural Networks for Complete Euclidean Graphs
AAAI 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
Factorized Explainer for Graph Neural Networks
AAAI 2024
Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
AAAI 2024
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
AAAI 2024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
AAAI 2024
Stratified GNN Explanations through Sufficient Expansion
AAAI 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
AAAI 2024
Deep Incomplete Multi-View Learning Network with Insufficient Label Information
AAAI 2024
GLDL: Graph Label Distribution Learning
AAAI 2024
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024
Patch-Wise Graph Contrastive Learning for Image Translation
AAAI 2024
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
AAAI 2024
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
AAAI 2024
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
AAAI 2024
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs
AAAI 2024
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
AAAI 2024
Towards Effective and General Graph Unlearning via Mutual Evolution
AAAI 2024
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
AAAI 2024
Hypergraph Neural Architecture Search
AAAI 2024
<
1
…
57
58
59
…
180
>