LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification.
Wenjie XiArnav JainLi ZhangJessica LinPublished in: CoRR (2023)
Keyphrases
- neural network
- semi supervised
- graph construction
- label propagation
- semi supervised classification
- similarity measure
- neural network model
- artificial neural networks
- semi supervised learning
- random walk
- graph embedding
- normalized cut
- labeled data
- dynamic time warping
- semantic similarity
- inexact graph matching
- structured data
- graph representation
- similarity graph
- graph theory
- directed acyclic graph
- edit distance
- graph matching
- similarity function
- self organizing maps
- unlabeled data
- distance measure
- nearest neighbor
- graph model
- spanning tree
- similarity scores
- pairwise constraints
- weighted graph
- genetic algorithm
- bipartite graph
- lower bound
- supervised learning
- back propagation
- fault diagnosis
- directed graph
- manifold learning
- euclidean distance
- similarity metric
- graph partitioning
- distance function
- unsupervised learning
- multi view
- associative memory
- pairwise
- graph structure
- pattern recognition
- neural network is trained
- training data
- region adjacency graph
- maximum common subgraph