TF-GNN: Graph Neural Networks in TensorFlow.
Oleksandr FerludinArno EigenwilligMartin BlaisDustin ZelleJan PfeiferAlvaro Sanchez-GonzalezWai Lok Sibon LiSami Abu-El-HaijaPeter W. BattagliaNeslihan BulutJonathan HalcrowFilipe Miguel Gonçalves de AlmeidaSilvio LattanziAndré LinharesBrandon MayerVahab S. MirrokniJohn PalowitchMihir ParadkarJennifer SheAnton TsitsulinKevin VillelaLisa WangDavid WongBryan PerozziPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- graph theory
- random walk
- graph structure
- graph representation
- genetic algorithm
- tf idf
- fuzzy logic
- back propagation
- graph model
- feed forward
- directed graph
- directed acyclic graph
- weighted graph
- spanning tree
- neural nets
- connected components
- structured data
- graph theoretic
- machine learning
- term weighting
- graph mining
- training process
- fuzzy systems
- multi layer
- bipartite graph
- multilayer perceptron
- information extraction
- artificial neural networks