Graph Representation Learning Publications

Publications in Graph Representation Learning

Explore the most influential research papers and scholarly works that have shaped Graph Representation Learning. Use the concept filter below to focus on a specific sub-area of research.

Graph Representation Learning

1.6K

Publications

134.2K

Citations

Showing yearly statistics from 2000-2026.

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	Year	Citations
Inductive Representation Learning on Large Graphs William L. Hamilton, Rex Ying, Jure Leskovec arXiv (Cornell University) Low-dimensional EmbeddingsGraph Representation LearningMachine LearningEngineeringLink Prediction	2017	4.5K
Collective Classification in Network Data Prithviraj Sen, Galileo Namata, Mustafa Bilgic, AI Magazine Graph Representation LearningMachine LearningEngineeringProtein Interaction NetworksComputational Analysis	2008	3.2K
Heterogeneous Graph Attention Network Xiao Wang, Houye Ji, Chuan Shi, Graph Neural NetworkNetwork ScienceGraph TheoryData ScienceGraph Representation Learning	2019	2.7K
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Proceedings of the AAAI Conference on Artificial Intelligence Inverse RelationsGraph Representation LearningMachine LearningEngineeringLink Prediction	2018	2.3K
metapath2vec Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami Metapath2vec++ ModelGraph Representation LearningEngineeringNetwork AnalysisLink Prediction	2017	2.2K
A new model for learning in graph domains Marco Gori, Gabriele Monfardini, Franco Scarselli Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Cyclic GraphsGraph Representation LearningMachine LearningNeural Networks (Machine Learning)Engineering	2006	1.8K
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst arXiv (Cornell University) Geometric LearningGraph SparsityGraph Neural NetworkGraph Representation LearningGraph Theory	2016	1.7K
Graph Signal Processing: Overview, Challenges, and Applications Antonio Ortega, Pascal Frossard, Jelena Kovačević, Proceedings of the IEEE Graph SparsityGraph Representation LearningMachine LearningEngineeringNetwork Analysis	2018	1.7K
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu, Shirui Pan, Guodong Long, Relational DependenciesTemporal DependenciesForecasting MethodologyGraph Neural NetworksGraph Representation Learning	2020	1.6K
Heterogeneous Graph Neural Network Chuxu Zhang, Dongjin Song, Chao Huang, Graph Representation LearningMachine LearningEngineeringNetwork AnalysisLink Prediction	2019	1.4K
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals Chi Chen, Weike Ye, Yunxing Zuo, Chemistry of Materials Geometric LearningGraph Representation LearningMachine LearningEngineeringGraph Networks	2019	1.3K
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs Martin Simonovsky, Nikos Komodakis Geometric LearningGraph Neural NetworkMachine VisionGraph TheoryData Science	2017	1.3K

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