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← 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
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
NIPS 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
AAAI 2024
Hypergraph based Understanding for Document Semantic Entity Recognition
ACL 2024
Graph Neural Networks Do Not Always Oversmooth
NIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NIPS 2024
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
AAAI 2024
Bayesian Optimization of Functions over Node Subsets in Graphs
NIPS 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
NIPS 2024
Why the Metric Backbone Preserves Community Structure
NIPS 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
NIPS 2024
Non-convolutional graph neural networks.
NIPS 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
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
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
NIPS 2024
What do Graph Neural Networks learn? Insights from Tropical Geometry
NIPS 2024
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
IJCAI 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
Directed Hypergraph Representation Learning for Link Prediction
AISTATS 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
NIPS 2024
Predicting Housing Transaction with Common Covariance GNNs
IJCAI 2024
PyGOD: A Python Library for Graph Outlier Detection
JMLR 2024
Pygmtools: A Python Graph Matching Toolkit
JMLR 2024
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