Module temporal_knowledge_graph 

Temporal Knowledge Graph — tracks how facts and relationships evolve over time.

Overview

A TemporalKnowledgeGraph stores nodes and edges along with a timeline of events, allowing queries that ask “what was true at time T?” as well as full history queries.

Quick start

use ipfrs_tensorlogic::temporal_knowledge_graph::{
    TemporalKnowledgeGraph, TkgQuery,
};

let mut g = TemporalKnowledgeGraph::new();
let alice = g.add_node("Alice".to_string(), 0).expect("example: should succeed in docs");
let bob   = g.add_node("Bob".to_string(),   0).expect("example: should succeed in docs");
let edge  = g.add_edge(alice, bob, "knows".to_string(), 1.0, 0).expect("example: should succeed in docs");

let snap = g.snapshot_at(10);
assert_eq!(snap.nodes.len(), 2);
assert_eq!(snap.edges.len(), 1);

Structs

EdgeId

Unique identifier for an edge (16 opaque bytes).

NodeId

Unique identifier for a node (16 opaque bytes).

TemporalKnowledgeGraph

A temporal knowledge graph that records how facts and relationships change.

TkgEdge

A directed edge in the temporal knowledge graph.

TkgGraphStats

Aggregate statistics for the graph.

TkgNode

A node in the temporal knowledge graph.

TkgSnapshot

A point-in-time snapshot of the graph.

Enums

TkgError

Errors produced by temporal knowledge graph operations.

TkgEvent

An event recorded in the graph timeline.

TkgMergePolicy

Conflict-resolution policy when merging two graphs.

TkgQuery

Query types supported by TemporalKnowledgeGraph.

TkgQueryResult

The result of a TkgQuery.