[package]
edition = "2021"
rust-version = "1.77"
name = "ruvector-graph-transformer"
version = "2.0.4"
authors = ["Ruvector Team"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Unified graph transformer with proof-gated mutation substrate — 8 verified modules for physics, biological, manifold, temporal, and economic graph intelligence"
readme = "README.md"
keywords = [
"graph-transformer",
"proof-gated",
"attention",
"verified",
"neural-network",
]
categories = [
"science",
"mathematics",
"algorithms",
]
license = "MIT"
repository = "https://github.com/ruvnet/ruvector"
[features]
biological = []
default = [
"sublinear",
"verified-training",
]
economic = []
full = [
"sublinear",
"physics",
"biological",
"self-organizing",
"verified-training",
"manifold",
"temporal",
"economic",
]
manifold = []
physics = []
self-organizing = []
sublinear = []
temporal = []
verified-training = []
[lib]
name = "ruvector_graph_transformer"
path = "src/lib.rs"
[[test]]
name = "integration"
path = "tests/integration.rs"
[dependencies.rand]
version = "0.8"
[dependencies.ruvector-attention]
version = "2.0"
[dependencies.ruvector-coherence]
version = "2.0"
[dependencies.ruvector-gnn]
version = "2.0"
[dependencies.ruvector-mincut]
version = "2.0"
[dependencies.ruvector-solver]
version = "2.0"
[dependencies.ruvector-verified]
version = "0.1"
features = [
"ultra",
"hnsw-proofs",
]
[dependencies.serde]
version = "1.0"
features = ["derive"]
[dependencies.thiserror]
version = "2.0"
[dev-dependencies.proptest]
version = "1.5"