1. 30 Oct, 2019 1 commit
    • xiang song(charlie.song)'s avatar
      [Bug Fix] Fix package reliability bug of networkx (#949) · 82499e60
      xiang song(charlie.song) authored
      * upd
      
      * fig edgebatch edges
      
      * add test
      
      * trigger
      
      * Update README.md for pytorch PinSage example.
      
      Add noting that the PinSage model example under
      example/pytorch/recommendation only work with Python 3.6+
      as its dataset loader depends on stanfordnlp package
      which work only with Python 3.6+.
      
      * Provid a frame agnostic API to test nn modules on both CPU and CUDA side.
      
      1. make dgl.nn.xxx frame agnostic
      2. make test.backend include dgl.nn modules
      3. modify test_edge_softmax of test/mxnet/test_nn.py and
          test/pytorch/test_nn.py work on both CPU and GPU
      
      * Fix style
      
      * Delete unused code
      
      * Make agnostic test only related to tests/backend
      
      1. clear all agnostic related code in dgl.nn
      2. make test_graph_conv agnostic to cpu/gpu
      
      * Fix code style
      
      * fix
      
      * doc
      
      * Make all test code under tests.mxnet/pytorch.test_nn.py
      work on both CPU and GPU.
      
      * Fix syntex
      
      * Remove rand
      
      * Add TAGCN nn.module and example
      
      * Now tagcn can run on CPU.
      
      * Add unitest for TGConv
      
      * Fix style
      
      * For pubmed dataset, using --lr=0.005 can achieve better acc
      
      * Fix style
      
      * Fix some descriptions
      
      * trigger
      
      * Fix doc
      
      * Add nn.TGConv and example
      
      * Fix bug
      
      * Update data in mxnet.tagcn test acc.
      
      * Fix some comments and code
      
      * delete useless code
      
      * Fix namming
      
      * Fix bug
      
      * Fix bug
      
      * Add test for mxnet TAGCov
      
      * Add test code for mxnet TAGCov
      
      * Update some docs
      
      * Fix some code
      
      * Update docs dgl.nn.mxnet
      
      * Update weight init
      
      * Fix
      
      * reproduce the bug
      
      * Fix concurrency bug reported at #755.
      Also make test_shared_mem_store.py more deterministic.
      
      * Update test_shared_mem_store.py
      
      * Update dmlc/core
      
      * networkx >= 2.4 will break our examples
      
      * Update tutorials/requirements
      
      * fix selfloop edges
      
      * upd version
      82499e60
  2. 29 Oct, 2019 2 commits
  3. 28 Oct, 2019 1 commit
  4. 26 Oct, 2019 1 commit
  5. 25 Oct, 2019 3 commits
  6. 21 Oct, 2019 7 commits
  7. 18 Oct, 2019 1 commit
  8. 12 Oct, 2019 1 commit
  9. 11 Oct, 2019 3 commits
    • xiang song(charlie.song)'s avatar
      Fix bug of KG train.py script. (#922) · 20439e1c
      xiang song(charlie.song) authored
      It cannot work when only mxnet backend is installed.
      20439e1c
    • xiang song(charlie.song)'s avatar
      [KG] Update CI to cover Knowledge Graph (#913) · 93e3c49d
      xiang song(charlie.song) authored
      * upd
      
      * fig edgebatch edges
      
      * add test
      
      * trigger
      
      * Update README.md for pytorch PinSage example.
      
      Add noting that the PinSage model example under
      example/pytorch/recommendation only work with Python 3.6+
      as its dataset loader depends on stanfordnlp package
      which work only with Python 3.6+.
      
      * Provid a frame agnostic API to test nn modules on both CPU and CUDA side.
      
      1. make dgl.nn.xxx frame agnostic
      2. make test.backend include dgl.nn modules
      3. modify test_edge_softmax of test/mxnet/test_nn.py and
          test/pytorch/test_nn.py work on both CPU and GPU
      
      * Fix style
      
      * Delete unused code
      
      * Make agnostic test only related to tests/backend
      
      1. clear all agnostic related code in dgl.nn
      2. make test_graph_conv agnostic to cpu/gpu
      
      * Fix code style
      
      * fix
      
      * doc
      
      * Make all test code under tests.mxnet/pytorch.test_nn.py
      work on both CPU and GPU.
      
      * Fix syntex
      
      * Remove rand
      
      * Add TAGCN nn.module and example
      
      * Now t...
      93e3c49d
    • xiang song(charlie.song)'s avatar
      [KG] ComplEx score func for MXNet (#918) · bde75256
      xiang song(charlie.song) authored
      * upd
      
      * fig edgebatch edges
      
      * add test
      
      * trigger
      
      * Update README.md for pytorch PinSage example.
      
      Add noting that the PinSage model example under
      example/pytorch/recommendation only work with Python 3.6+
      as its dataset loader depends on stanfordnlp package
      which work only with Python 3.6+.
      
      * Provid a frame agnostic API to test nn modules on both CPU and CUDA side.
      
      1. make dgl.nn.xxx frame agnostic
      2. make test.backend include dgl.nn modules
      3. modify test_edge_softmax of test/mxnet/test_nn.py and
          test/pytorch/test_nn.py work on both CPU and GPU
      
      * Fix style
      
      * Delete unused code
      
      * Make agnostic test only related to tests/backend
      
      1. clear all agnostic related code in dgl.nn
      2. make test_graph_conv agnostic to cpu/gpu
      
      * Fix code style
      
      * fix
      
      * doc
      
      * Make all test code under tests.mxnet/pytorch.test_nn.py
      work on both CPU and GPU.
      
      * Fix syntex
      
      * Remove rand
      
      * Add TAGCN nn.module and example
      
      * Now tagcn can run on CPU.
      
      * Add unitest for TGConv
      
      * Fix style
      
      * For pubmed dataset, using --lr=0.005 can achieve better acc
      
      * Fix style
      
      * Fix some descriptions
      
      * trigger
      
      * Fix doc
      
      * Add nn.TGConv and example
      
      * Fix bug
      
      * Update data in mxnet.tagcn test acc.
      
      * Fix some comments and code
      
      * delete useless code
      
      * Fix namming
      
      * Fix bug
      
      * Fix bug
      
      * Add test for mxnet TAGCov
      
      * Add test code for mxnet TAGCov
      
      * Update some docs
      
      * Fix some code
      
      * Update docs dgl.nn.mxnet
      
      * Update weight init
      
      * Fix
      
      * reproduce the bug
      
      * Fix concurrency bug reported at #755.
      Also make test_shared_mem_store.py more deterministic.
      
      * Update test_shared_mem_store.py
      
      * Update dmlc/core
      
      * Add complEx for mxnet
      
      * ComplEx is ready for MXNet
      bde75256
  10. 09 Oct, 2019 2 commits
  11. 08 Oct, 2019 5 commits
    • Minjie Wang's avatar
      [Fix] Fix typo in KGE readme · 5eae8e05
      Minjie Wang authored
      5eae8e05
    • Quan (Andy) Gan's avatar
      9d64927c
    • Quan (Andy) Gan's avatar
      minor docstring fix (#910) · a1cdc7a5
      Quan (Andy) Gan authored
      a1cdc7a5
    • Quan (Andy) Gan's avatar
      [Hetero][Tutorial] Heterograph tutorials (#878) · 3ee7e112
      Quan (Andy) Gan authored
      * heterograph tutorial skeleton
      
      * [WIP][Tutorial] Heterogeneous graph tutorial
      
      * fix
      
      * update
      3ee7e112
    • xiang song(charlie.song)'s avatar
      [Bug fix] Fix concurrency bug reported at issue#755 (#823) · fd1b1474
      xiang song(charlie.song) authored
      * upd
      
      * fig edgebatch edges
      
      * add test
      
      * trigger
      
      * Update README.md for pytorch PinSage example.
      
      Add noting that the PinSage model example under
      example/pytorch/recommendation only work with Python 3.6+
      as its dataset loader depends on stanfordnlp package
      which work only with Python 3.6+.
      
      * Provid a frame agnostic API to test nn modules on both CPU and CUDA side.
      
      1. make dgl.nn.xxx frame agnostic
      2. make test.backend include dgl.nn modules
      3. modify test_edge_softmax of test/mxnet/test_nn.py and
          test/pytorch/test_nn.py work on both CPU and GPU
      
      * Fix style
      
      * Delete unused code
      
      * Make agnostic test only related to tests/backend
      
      1. clear all agnostic related code in dgl.nn
      2. make test_graph_conv agnostic to cpu/gpu
      
      * Fix code style
      
      * fix
      
      * doc
      
      * Make all test code under tests.mxnet/pytorch.test_nn.py
      work on both CPU and GPU.
      
      * Fix syntex
      
      * Remove rand
      
      * Add TAGCN nn.module and example
      
      * Now tagcn can run on CPU.
      
      * Add unitest for TGConv
      
      * Fix style
      
      * For pubmed dataset, using --lr=0.005 can achieve better acc
      
      * Fix style
      
      * Fix some descriptions
      
      * trigger
      
      * Fix doc
      
      * Add nn.TGConv and example
      
      * Fix bug
      
      * Update data in mxnet.tagcn test acc.
      
      * Fix some comments and code
      
      * delete useless code
      
      * Fix namming
      
      * Fix bug
      
      * Fix bug
      
      * Add test for mxnet TAGCov
      
      * Add test code for mxnet TAGCov
      
      * Update some docs
      
      * Fix some code
      
      * Update docs dgl.nn.mxnet
      
      * Update weight init
      
      * Fix
      
      * reproduce the bug
      
      * Fix concurrency bug reported at #755.
      Also make test_shared_mem_store.py more deterministic.
      
      * Update test_shared_mem_store.py
      
      * Update dmlc/core
      fd1b1474
  12. 07 Oct, 2019 2 commits
  13. 06 Oct, 2019 4 commits
  14. 04 Oct, 2019 2 commits
  15. 03 Oct, 2019 3 commits
  16. 02 Oct, 2019 2 commits
    • Da Zheng's avatar
      [KG][Model] Knowledge graph embeddings (#888) · 15b951d4
      Da Zheng authored
      * upd
      
      * fig edgebatch edges
      
      * add test
      
      * trigger
      
      * Update README.md for pytorch PinSage example.
      
      Add noting that the PinSage model example under
      example/pytorch/recommendation only work with Python 3.6+
      as its dataset loader depends on stanfordnlp package
      which work only with Python 3.6+.
      
      * Provid a frame agnostic API to test nn modules on both CPU and CUDA side.
      
      1. make dgl.nn.xxx frame agnostic
      2. make test.backend include dgl.nn modules
      3. modify test_edge_softmax of test/mxnet/test_nn.py and
          test/pytorch/test_nn.py work on both CPU and GPU
      
      * Fix style
      
      * Delete unused code
      
      * Make agnostic test only related to tests/backend
      
      1. clear all agnostic related code in dgl.nn
      2. make test_graph_conv agnostic to cpu/gpu
      
      * Fix code style
      
      * fix
      
      * doc
      
      * Make all test code under tests.mxnet/pytorch.test_nn.py
      work on both CPU and GPU.
      
      * Fix syntex
      
      * Remove rand
      
      * Add TAGCN nn.module and example
      
      * Now ta...
      15b951d4
    • Da Zheng's avatar
      fix compile error on Mac. (#896) · 1c00f3a8
      Da Zheng authored
      1c00f3a8