July 17, 2017 preprint Open access graph2vec: Learning Distributed Representations of Graphs arXiv (Cornell University) DOI: 10.48550/arxiv.1707.05005 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 519 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings 2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks 2 citations Preserving complex object-centric graph structures to improve machine learning tasks in process mining 2023 Engineering Applications of Artificial Intelligence article Business, Management and Accounting Business Process Modeling and Analysis 25 citations Interacting brains revisited: A cross‐brain network neuroscience perspective 2022 Human Brain Mapping article Neuroscience Functional Brain Connectivity Studies Open access 9 citations word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data 2020 ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS) conference-paper Computer Science Advanced Graph Neural Networks Open access cited by 2 patents 179 citations 4 results References 0