GitLab

* all pytorch examples

* scan through mxnet examples

* change reddit data

* tweak numerical range for unittest

* fix ci

* fix ci

* fix

* add seed to workaround

* Update prerequisites of README

* dependencies for pytorch models

* dependencies for mxnet models

* minor

* fix SSE.

* fix.

* fix.

* fix all code tutorial links and typos in texts

* sse readme format

* fix

* sse paper link

* gat readme

* fix

* lazy eval edge ids.

* parallelize node id lookup.

* fix a bug.

* use mxnet for index.

* use update_all in the subgraph training.

* sample neighbors.

* Revert "parallelize node id lookup."

This reverts commit e661f69bb06cb5a7c246f0e106f245e27800e220.

* update README.

* cache subgraphs.

* support all degrees.

* cache adj in CPU.

* fix a bug in sse.

* print.

* raise error on mutable graphs.

* measure train time per epoch.

* fix a bug in graph_index.

* remove readonly in DGLSubGraph.

* cache subgraph properly.

* accelerate getting adjacency.

* split infer.

* lazy eval edges.

* specify inference mode.

* update for new sampler.

* use new mxnet sampling api.

* fix indent.

* remove profiling code.

* remove mxnet from sampler.

* return a lambda function for graph edges.

* add docs for immutable subgraph.

* Revert "return a lambda function for graph edges."

This reverts commit 0de5d7f100e230c518a3fb8976a6227f474d09ee.

* get parent_eid.

* add a test.

* move file.

* debug

* add degree normalization.

* it can converge now.

* remove hidden_data.

* use readonly graph index.

* use subgraph loader.

* refactor code and remove intermediate data.

* split inference.

* mix cpu and gpu training.

* fix mxnet sparse_matrix constructor.

* convert tensor context.

* set up the prediction model.

* load mxnet csr directly.

* add timing.

* move test_sse.py to sse_batch.py

* fix the tensor version of SSE.

* update README.

* add neighbor sampler.

* fix sampler.

* handle non-existing nodes differently in MapParentIdToSubgraphId.

* fix sampling tests.

* parallelize sampling.

* add more tests.

* fix a bug in subgraph loader.

* get number of sampled nodes directly.

* load mxnet CSR to DGLGraph directly.

* create graph from mxnet csr array directly.

* use subgraph loader in SSE.

* fix a bug in sampling.

* output framework tensor.

* fix.

* remove unnecessary code.

* fix tests.

* add SSE README.

* move to contrib.

* address comments.

* add tests.