De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs.
Lisi QarkaxhijaVincenzo PerriIngo ScholtesPublished in: CoRR (2022)
Keyphrases
- neural network
- graph structure
- dynamic graph
- graph theory
- dynamic networks
- graph representation
- directed graph
- graph structures
- weighted graph
- network architecture
- graph construction
- graph matching
- graph model
- graph theoretic
- graph representations
- graph theoretical
- pattern recognition
- graph search
- graph clustering
- labeled graphs
- adjacency matrix
- graph databases
- graph classification
- graph partitioning
- graph mining
- undirected graph
- graph kernels
- associative memory
- bipartite graph
- series parallel
- directed acyclic
- graph data
- graph isomorphism
- structural pattern recognition
- minimum spanning tree
- neural fuzzy
- learning rules
- neural learning
- adjacency graph
- subgraph isomorphism
- neural computation
- maximum common subgraph
- maximal cliques
- random graphs
- neural network model
- random walk
- spanning tree
- graph patterns
- artificial neural networks
- dense subgraphs
- neural model
- small world
- connected graphs
- web graph