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Methodology
← Core Methods
Machine Learning
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Core Methods
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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
Bayesian Optimization of Functions over Node Subsets in Graphs
NIPS 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
NIPS 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
NIPS 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
NIPS 2024
Why the Metric Backbone Preserves Community Structure
NIPS 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
NIPS 2024
Graph Neural Networks and Arithmetic Circuits
NIPS 2024
Non-convolutional graph neural networks.
NIPS 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
NIPS 2024
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
NIPS 2024
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
NIPS 2024
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
NIPS 2024
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
NIPS 2024
CurveCloudNet: Processing Point Clouds with 1D Structure
CVPR 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
NIPS 2024
What do Graph Neural Networks learn? Insights from Tropical Geometry
NIPS 2024
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
CVPR 2024
Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
NIPS 2024
How Does Message Passing Improve Collaborative Filtering?
NIPS 2024
Association Pattern-aware Fusion for Biological Entity Relationship Prediction
NIPS 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
NIPS 2024
Graphcode: Learning from multiparameter persistent homology using graph neural networks
NIPS 2024
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
EMNLP 2024
MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding
EMNLP 2024
Hypergraph based Understanding for Document Semantic Entity Recognition
ACL 2024
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