A comprehensive survey on deep graph representation learning
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …
[PDF][PDF] A Comprehensive Survey on Deep Graph Representation Learning
WEI JU, Z FANG, Y GU, Z LIU, Q LONG, Z QIAO, Y QIN… - J. ACM, 2018 - researchgate.net
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …
A Comprehensive Survey on Deep Graph Representation Learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …
A Comprehensive Survey on Deep Graph Representation Learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin… - arXiv preprint arXiv …, 2023 - arxiv.org
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …
A Comprehensive Survey on Deep Graph Representation Learning.
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao… - Neural Networks: the …, 2024 - europepmc.org
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …
A Comprehensive Survey on Deep Graph Representation Learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao… - Neural networks: the … - pubmed.ncbi.nlm.nih.gov
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …