Skip to main content

Deep Graph Library

Project description

The author of this package has not provided a project description

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

dgl-0.9.0-cp310-cp310-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.10Windows x86-64

dgl-0.9.0-cp310-cp310-manylinux1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.10

dgl-0.9.0-cp310-cp310-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

dgl-0.9.0-cp310-cp310-macosx_10_9_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

dgl-0.9.0-cp39-cp39-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.9Windows x86-64

dgl-0.9.0-cp39-cp39-manylinux1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.9

dgl-0.9.0-cp39-cp39-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

dgl-0.9.0-cp39-cp39-macosx_10_9_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

dgl-0.9.0-cp38-cp38-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.8Windows x86-64

dgl-0.9.0-cp38-cp38-manylinux1_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.8

dgl-0.9.0-cp38-cp38-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

dgl-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

dgl-0.9.0-cp37-cp37m-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.7mWindows x86-64

dgl-0.9.0-cp37-cp37m-manylinux1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.7m

dgl-0.9.0-cp37-cp37m-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.7mmacOS 11.0+ ARM64

dgl-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

dgl-0.9.0-cp36-cp36m-win_amd64.whl (2.9 MB view details)

Uploaded CPython 3.6mWindows x86-64

dgl-0.9.0-cp36-cp36m-manylinux1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.6m

dgl-0.9.0-cp36-cp36m-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.6mmacOS 11.0+ ARM64

dgl-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.6mmacOS 10.9+ x86-64

File details

Details for the file dgl-0.9.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b38a64116c448fbc970bc051945220a08c137fd3edcc678d4a6194e6ebc760e1
MD5 635545a9e10acfa76022d31dc58627b8
BLAKE2b-256 f455e650a84f73bd4e830ee28cedfd78fa308119372b4b8906aef271ef54eb09

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dgl-0.9.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7881481838b2295bba1cb66bb500fec359f7b105f868bc9002508aac1d3b6bf7
MD5 00a7e85677022e8070ff318a9af73840
BLAKE2b-256 df83a68c9d7acfa8a22266a47350c208479332ac7be8b34db4b04b1cac205b50

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dgl-0.9.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 aa5377cfd67ca962fc0412d0182da8096de0fc170627c4283379ea3eb1f80474
MD5 1294b94d873e0a5ddbc73c5531f1c4d3
BLAKE2b-256 e9b4a9b6f6d993416230b17d88ace5cdcd1c629e60238ffca6dbf8f554829caf

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dgl-0.9.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f99393b56d897f862992f32422b1f7cd6fdcc1cafab213e6891e49521bf452bc
MD5 8704176bb47f9766baf314558d4f52a5
BLAKE2b-256 4be646c6ebbe8f091205e0b6f78984e5cbf1e5a48db29dcf42c39494df81d1c7

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8223661a000cecdcee67a164ff6cd3f0cb080f1401195263fbf97ce17ad830ba
MD5 7d0c8ab3694765aba88d9ccae00c910c
BLAKE2b-256 4f540185adf4692096448fe04dc06d1ac444eb32a54d7ff787d6158dfa3c1330

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dgl-0.9.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 93e04fc22f3f1fc34fec5a7f0258ae51a5dcc684f11a833a80637214bc56f498
MD5 12aa69b4e94f7fd5514a6f8109e68a54
BLAKE2b-256 fec23f1c6965354808188aae016c4c83e985fadf8787a2a4cc864f13c803afec

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 3.2 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a14d696e23d4bdfb0c9606f515c05227a47141fc1bbbb654db8b2f6c711ddfe1
MD5 a92a914024f750bb994a140187cbcc8b
BLAKE2b-256 a4e857ca1fee67a5e8bd782a7bedf7acb9cbd3f51ff8e3f467ee9fc80480227b

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 3.8 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d6188791e71d4f0b7c4346f0371df54ae57c0c6571ff4385b57bb07d5f11ac05
MD5 d871796870df2194e6a138337465269c
BLAKE2b-256 8f366e9132428621ad639338305811b6d11630e21b757c910c6814d32b718afe

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f4c560ee90a2fd9f200816492c436b2d04edad773227ad78726eee613830064b
MD5 e15ebb22fc6d69873a581c21999abf81
BLAKE2b-256 0983cade95033778b17e4d4d48d8ea915e0ba00fdca7db8466e77bb8894bc56a

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dgl-0.9.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2a34d9d065dfaf0d18b7285fc95a316ca575a0edc43f8ed2af25297b9ca5ca09
MD5 e3f119c92d6476d5c050a4e6abb167f7
BLAKE2b-256 73b71bc2faa15a37e8dd8383fee59dcab93925479154786a8854a348c629f0a8

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 3.2 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b753aefea249222b97b1ebe0b2d62153d47f0599fd1568044a51dd7e90ccc82d
MD5 ad2802df482be69e46543d1aef246a8e
BLAKE2b-256 d2975ab099b8a24a17f0dbb07455e307a237a2a1c410116fcb186ccd5835fa60

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 3.8 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0434ba5b6f67d3d925ce0be27e44df2e2165c2cb09582451f0651f4f20364ffb
MD5 8d032c5eacff7b22d272e71d907d3fe4
BLAKE2b-256 f72642201d0c1ebcc9c603852e4f5dc225b6dd7e7f25905e4482b9493eca47ec

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e7160846a3f0bd7ddb93ee31b3c7ed5c40bdf219b159bb3428b8078fe1fddcf4
MD5 aa93e7cacf80d5e36fa79bad50e272a0
BLAKE2b-256 5ad7c25973b5d4725dad0bd510699e213b818a23e84160f68af2b26043d5d419

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dgl-0.9.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bd73488b61bd6b72d2e7f87ab0a027867c1a2819de846819f01b5b7ba1a63e93
MD5 c3ea9790018f6ca60d8f4140de2d11c0
BLAKE2b-256 0fcd535fcd81a15f7824bcd4974460f38cc72235182f8fdf96a1fbc8506b9013

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp37-cp37m-macosx_11_0_arm64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp37-cp37m-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 3.2 MB
  • Tags: CPython 3.7m, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp37-cp37m-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 91e897528de25134a4635c52a8ad2ad8b20a1285b0c0dd83b5e3a0024c97469f
MD5 888d6e0c0a32f4e743b8d92a1a244372
BLAKE2b-256 815ac48dc2ab4440be55af7b81aa4e3c38f41025ab6a4444df7792cabe320238

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 3.8 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 13ed83909760f2bee3d8b69343bdb08fe8544589039ea37ca6be3f6d902cbafa
MD5 a57a04b32ac2f3e3c2d1fc15556265b0
BLAKE2b-256 1dcf910ed8c6cb8b915e8ff7b5216574b56750a639f6dd749aa69cf5d551855e

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 772f2efcd9c1969e0793303d95a86b4ee4dbe5eb036ae71964d08dabe45c7fe1
MD5 13a1c38f322b07d7b0db12365554085d
BLAKE2b-256 c5e2d90b31854fe6acaf1906b23c317abd887256481d3d68d663818778a28ca4

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dgl-0.9.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 274491439f64fe17ef16de631bd38c70820ffa351c280a3cde9e60f2ab7c3789
MD5 d5c4ca7920454a5922e6f5590e2c0a55
BLAKE2b-256 9693d84e745a2263250c6ea95895892ad947fcddbd5ded2ad1891cbaa91afcff

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp36-cp36m-macosx_11_0_arm64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp36-cp36m-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 3.2 MB
  • Tags: CPython 3.6m, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp36-cp36m-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 51770767bc73841c1ac2abf4a1f3dd27f6652a2b443e68a79108f41fac60f6c6
MD5 66c3ff89743d618d1eb59bee98512fcc
BLAKE2b-256 7e609a34423e101e3699f53bf826012990c3e205fd899e5ced234cad2c714325

See more details on using hashes here.

File details

Details for the file dgl-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: dgl-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 3.8 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.7

File hashes

Hashes for dgl-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 42004bbba841d5f9a7c4e870739ffcc692bf1fd360b182bf8192fcdfab4b7409
MD5 abca84ab5e7546d9c11f68647e58e9a0
BLAKE2b-256 fcb5b79430dd6b2746bb19f6d14f4b395c89a801cba920c90c254b35cb9e6224

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page