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← Architectures
Deep Learning
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Architectures
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Graph Neural Networks
4,495 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
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
ACL 2023
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items
AAAI 2023
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs
ACL 2023
Fast Online Node Labeling for Very Large Graphs
ICML 2023
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation
ICCV 2023
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs
MIDL 2023
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
NIPS 2023
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
AAAI 2023
Taming graph kernels with random features
ICML 2023
Boundary Graph Neural Networks for 3D Simulations
AAAI 2023
VTCC-NLP at SemEval-2023 Task 6:Long-Text Representation Based on Graph Neural Network for Rhetorical Roles Prediction
SEMEVAL 2023
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels
AAAI 2023
DRew: Dynamically Rewired Message Passing with Delay
ICML 2023
Multimodal Graph Transformer for Multimodal Question Answering
EACL 2023
ORANGE: Text-video Retrieval via Watch-time-aware Heterogeneous Graph Contrastive Learning
EMNLP 2023
Calibration techniques for node classification using graph neural networks on medical image data
MIDL 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks
NIPS 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
NIPS 2023
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
NIPS 2023
Optimality of Message-Passing Architectures for Sparse Graphs
NIPS 2023
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
CVPR 2023
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
NIPS 2023
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract)
AAAI 2023
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms
OSDI 2023
Fisher Information Embedding for Node and Graph Learning
ICML 2023
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