propago 0.2.0

Graph neural network primitives: GCN and hyperbolic GCN on Burn tensors
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2021"
name = "propago"
version = "0.2.0"
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Graph neural network primitives: GCN and hyperbolic GCN on Burn tensors"
homepage = "https://github.com/arclabs561/propago"
documentation = "https://docs.rs/propago"
readme = "README.md"
keywords = [
    "gnn",
    "graph",
    "neural-network",
]
categories = [
    "science",
    "algorithms",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/arclabs561/propago"

[features]
default = []

[lib]
name = "propago"
path = "src/lib.rs"

[[example]]
name = "burn_poincare_smoke"
path = "examples/burn_poincare_smoke.rs"

[[example]]
name = "hgcn_smoke"
path = "examples/hgcn_smoke.rs"

[dependencies.burn]
version = "0.20.0"
features = ["std"]
default-features = false

[dependencies.burn-ndarray]
version = "0.20.0"
default-features = true

[dev-dependencies.hyperball]
version = "0.1"

[dev-dependencies.ndarray]
version = "0.16"

[dev-dependencies.proptest]
version = "1.5"