GitHub / benedekrozemberczki / awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benedekrozemberczki%2Fawesome-graph-classification
PURL: pkg:github/benedekrozemberczki/awesome-graph-classification
Stars: 4,789
Forks: 739
Open issues: 0
License: cc0-1.0
Language: Python
Size: 1.79 MB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: 10 days ago
Pushed at: over 2 years ago
Last synced at: 10 days ago
Topics: attention-mechanism, classification-algorithm, deep-graph-kernels, deepwalk, graph-attention-model, graph-attention-networks, graph-classification, graph-convolutional-networks, graph-embedding, graph-kernel, graph-kernels, graph-representation-learning, graph2vec, kernel-methods, netlsd, network-embedding, node-embedding, node2vec, structural-attention, weisfeiler-lehman
Funding Links https://github.com/sponsors/benedekrozemberczki