KI-Glossar
Das vollständige Wörterbuch der Künstlichen Intelligenz
Temporal Graph
Data structure where nodes and edges have temporal attributes, allowing to model relationships that evolve and change over time.
Temporal Edge
Connection between two nodes in a graph associated with one or more timestamps, indicating when this relationship exists or occurs in time.
Dynamic Node
Entity in a temporal graph whose attributes, existence, or connections evolve temporally, reflecting state or behavior changes.
Node Trajectory
Chronologically ordered sequence of states and positions of a node in a temporal graph, capturing its evolution and movements in the network.
Temporal Pattern
Recurring structure or identifiable regularity in temporal graph data, revealing periodic behaviors or characteristic evolution patterns.
Temporal Anomaly Detection
Process of identifying unusual behaviors or unexpected events in the temporal evolution of graphs, significantly deviating from expected norms.
Temporal Link Prediction
Task consisting of anticipating the appearance, disappearance, or reconnection of connections between nodes at future times in an evolving graph.
Temporal Community
Grouping of nodes showing similar and coherent connection structures over time, forming dynamic subsets within the graph.
Temporal Sliding Window
Analysis technique that partitions time into successive overlapping intervals to capture gradual evolutions and trends in temporal graphs.
Temporal Graph Convolution
Mathematical operation combining spatial and temporal convolutional processing to extract local and dynamic features from evolving graphs.
Temporal Graph Neural Network
Deep learning architecture specialized in processing dynamic graphs, integrating temporal memory mechanisms and spatial aggregation.
Temporal Graph Alignment
Technique for matching graphs at different time points to analyze structural transformations and identify evolution trajectories.
Temporal Graph Attention
Mechanism that weights the relative importance of time points and neighbors in the graph to dynamically capture the most relevant relationships.
Temporal Graph Event
Discrete occurrence in time that modifies the graph's structure, such as the creation, deletion, or modification of edges or nodes.
Temporal Graph Embedding
Continuous vector representation that captures both the topological structure and dynamic evolution of graphs in low-dimensional spaces.
Sequence Graph
Structure combining the properties of time series and graphs to model chronologically ordered interactions between entities.