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Graph Neural Networks
1127 directly classified papers
Papers per year
2006: 2
2008: 1
2009: 2
2010: 3
2011: 2
2012: 6
2013: 7
2014: 5
2015: 2
2016: 7
2017: 8
2018: 16
2019: 62
2020: 133
2021: 139
2022: 175
2023: 196
2024: 192
2025: 168
2026: 1
Papers
TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
ICCV 2025
Hierarchical Material Recognition from Local Appearance
ICCV 2025
PS-Mamba: Spatial-Temporal Graph Mamba for Pose Sequence Refinement
ICCV 2025
Breaking Grid Constraints: Dynamic Graph Reconstruction Network for Multi-organ Segmentation
ICCV 2025
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
AAAI 2025
Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights
ACL 2025
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
ACL 2025
Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation
ACL 2025
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering
ACL 2025
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models
ACL 2025
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
ACL 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
ACL 2025
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
IJCAI 2025
Sifting through the Haystack - Efficiently Finding Rare Animal Behaviors in Large-Scale Datasets
WACV 2025
RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning
EMNLP 2025
GraphRAG Analysis for Financial Narrative Summarization and A Framework for Optimizing Domain Adaptation
COLING 2025
Demystifying the Power of Large Language Models in Graph Generation
NAACL 2025
Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning
IJCAI 2025
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
IJCAI 2025
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
IJCAI 2025
GG-SSMs: Graph-Generating State Space Models
CVPR 2025
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
IJCAI 2025
End-to-End HOI Reconstruction Transformer with Graph-based Encoding
CVPR 2025
Explainable Graph Representation Learning via Graph Pattern Analysis
IJCAI 2025
Backdoor Attack on Vertical Federated Graph Neural Network Learning
IJCAI 2025
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