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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
Learning Superconductivity from Ordered and Disordered Material Structures
NIPS 2024
Motion Graph Unleashed: A Novel Approach to Video Prediction
NIPS 2024
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NIPS 2024
Improving Temporal Link Prediction via Temporal Walk Matrix Projection
NIPS 2024
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
NIPS 2024
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
NIPS 2024
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
EMNLP 2024
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
NIPS 2024
MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction
NIPS 2024
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
NIPS 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
NIPS 2024
Graph Coarsening with Message-Passing Guarantees
NIPS 2024
Non-Euclidean Mixture Model for Social Network Embedding
NIPS 2024
PowerGraph: A power grid benchmark dataset for graph neural networks
NIPS 2024
Extracting Training Data from Molecular Pre-trained Models
NIPS 2024
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
NIPS 2024
Graph Classification via Reference Distribution Learning: Theory and Practice
NIPS 2024
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
NIPS 2024
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
AAAI 2024
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
CVPR 2024
Neural Sign Actors: A Diffusion Model for 3D Sign Language Production from Text
CVPR 2024
Neighbor Relations Matter in Video Scene Detection
CVPR 2024
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline
CVPR 2024
Learning Structure-from-Motion with Graph Attention Networks
CVPR 2024
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
CVPR 2024
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