* fix the bug for knngraph (#1667)
* fix the bug for knngraph (#1667)
* fix the bug for knngraph (#1667)
* fix the bug for knngraph (#1667)
* fix the bug for knngraph (#1667)
* fix the bug for knngraph (#1667)
Co-authored-by: jiruyi <18810981229@gmail.com>
* add cuda utils; change g.to; add g.device
* split array.h into several headers
* cuda index select
* file
* three cuda kernels
* add cuda elementwise arith and several others
* cuda CSRIsNonZero
* fix lint
* lint
* lint
* fix bug in changing ctx to property
* address comments
* remove unused codes
* address comments
* initial version from distributed training.
This is copied from multiprocessing training.
* modify for distributed training.
* it's runnable now.
* measure time in neighbor sampling.
* simplify neighbor sampling.
* fix a bug in distributed neighbor sampling.
* allow single-machine training.
* fix a bug.
* fix a bug.
* fix openmp.
* make some improvement.
* fix.
* add prepare in the sampler.
* prepare nodeflow async.
* fix a bug.
* get id.
* simplify the code.
* improve.
* fix partition.py
* fix the example.
* add more features.
* fix the example.
* allow one partition
* use distributed kvstore.
* do g2l map manually.
* fix commandline.
* a temp script to save reddit.
* fix pull_handler.
* add pytorch version.
* estimate the time for copying data.
* delete unused code.
* fix a bug.
* print id.
* fix a bug
* fix a bug
* fix a bug.
* remove redundent code.
* revert modify in sampler.
* fix temp script.
* remove pytorch version.
* fix.
* distributed training with pytorch.
* add distributed graph store.
* fix.
* add metis_partition_assignment.
* fix a few bugs in distributed graph store.
* fix test.
* fix bugs in distributed graph store.
* fix tests.
* remove code of defining DistGraphStore.
* fix partition.
* fix example.
* update run.sh.
* only read necessary node data.
* batching data fetch of multiple NodeFlows.
* simplify gcn.
* remove unnecessary code.
* use the new copy_from_kvstore.
* update training script.
* print time in graphsage.
* make distributed training runnable.
* use val_nid.
* fix train_sampling.
* add distributed training.
* add run.sh
* add more timing.
* fix a bug.
* save graph metadata when partition.
* create ndata and edata in distributed graph store.
* add timing in minibatch training of GraphSage.
* use pytorch distributed.
* add checks.
* fix a bug in global vs. local ids.
* remove fast pull
* fix a compile error.
* update and add new APIs.
* implement more methods in DistGraphStore.
* update more APIs.
* rename it to DistGraph.
* rename to DistTensor
* remove some unnecessary API.
* remove unnecessary files.
* revert changes in sampler.
* Revert "simplify gcn."
This reverts commit 0ed3a34ca714203a5b45240af71555d4227ce452.
* Revert "simplify neighbor sampling."
This reverts commit 551c72d20f05a029360ba97f312c7a7a578aacec.
* Revert "measure time in neighbor sampling."
This reverts commit 63ae80c7b402bb626e24acbbc8fdfe9fffd0bc64.
* Revert "add timing in minibatch training of GraphSage."
This reverts commit e59dc8957a414c7df5c316f51d78bce822bdef5e.
* Revert "fix train_sampling."
This reverts commit ea6aea9a4aabb8ba0ff63070aa51e7ca81536ad9.
* fix lint.
* add comments and small update.
* add more comments.
* add more unit tests and fix bugs.
* check the existence of shared-mem graph index.
* use new partitioned graph storage.
* fix bugs.
* print error in fast pull.
* fix lint
* fix a compile error.
* save absolute path after partitioning.
* small fixes in the example
* Revert "[kvstore] support any data type for init_data() (#1465)"
This reverts commit 87b6997bf2.
* fix a bug.
* disable evaluation.
* Revert "Revert "[kvstore] support any data type for init_data() (#1465)""
This reverts commit f5b8039c6326eb73bad8287db3d30d93175e5bee.
* support set and init data.
* support set and init data.
* Revert "Revert "[kvstore] support any data type for init_data() (#1465)""
This reverts commit f5b8039c6326eb73bad8287db3d30d93175e5bee.
* fix bugs.
* fix unit test.
* move to dgl.distributed.
* fix lint.
* fix lint.
* remove local_nids.
* fix lint.
* fix test.
* remove train_dist.
* revert train_sampling.
* rename funcs.
* address comments.
* address comments.
Use NodeDataView/EdgeDataView to keep track of data.
* address comments.
* address comments.
* revert.
* save data with DGL serializer.
* use the right way of getting shape.
* fix lint.
* address comments.
* address comments.
* fix an error in mxnet.
* address comments.
* add edge_map.
* add more test and fix bugs.
Co-authored-by: Zheng <dzzhen@186590dc80ff.ant.amazon.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-6-131.us-east-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-26-167.us-east-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-16-150.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-16-250.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-30-135.us-west-2.compute.internal>
* Deprecate multi-graph
* Handle heterograph and edge_ids
* lint
* Fix
* Remove multigraph in C++ end
* Fix lint
* Add some test and fix something
* Fix
* Fix
* upd
* Fix some test case
* Fix
* Fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* make graph symmetric
* call gklib routine.
* use gklib version except in windows.
* minor errors.
* fix test.
* update doc.
* fix a compile error.
* fix.
* add comments for the new C API.
* fix a bug.
* address comments.
* fix compile error.
* fix comment.
* add metis.
* add test.
* construct partition id.
* link to METIS github repo.
* update metis.
* add a tool for partitioning a graph.
* update metis.
* update.
* update.
* fix metis.
* fix lint
* fix indent.
* another way of building metis.
* disable metis in windows.
* test windows
* fix.
* disable metis for windows properly.
* fix for tensorflow.
* skip test for gpu.
* make graph symmetric
* address comments.
* more comments.
* fix compile
* fix a bug.
* add test.
* change the default #hops of HALO nodes.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-26-167.us-east-2.compute.internal>
* remove edge and to bipartite and graphsage with sampling
* fixes
* fixes
* fixes
* reenable multigpu training
* fixes
* compatibility in DGLGraph
* rename to compact_as_bipartite
* bugfix
* lint
* add offline inference
* skip GPU tests
* fix
* addresses comments
* fix
* fix
* fix
* more tests
* more docs and unit tests
* workaround for empty slice on empty data
* [WIP] PinSAGE operators
* moved the edge remapping mess into C
* some docstrings
* lint
* lint x2
* lint x3
* skip gpu test on topk
* extend pinsage to any metapath
* lint x4
* addresses #1265
* add always_preserve (fixes#1266) and fix a silly bug
* disable gpu test on compaction
* lint
* fix a horrible bug and add more tests
* lint
* addresses comments
* lint
* bugfix
* addresses comments
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
* Add HAN
* Fix
* WIP; load raw ACM dataset
* DGL's own preprocessing with metapath coalescer
* various fixes
* comparison against simple logistic regression
* rename
* fix test
* WIP: using object system for graph
* c++ side refactoring done; compiled
* remove stale apis
* fix bug in DGLGraphCreate; passed test_graph.py
* fix bug in python modify; passed utest for pytorch/cpu
* fix lint
* address comments
* to simple
* WIP: multigraph flag
* graph index refactor; pass basic testing
* graph index refactor; pass basic testing
* fix bug in to_simple; pass torch test
* fix mx utest
* fix example
* fix lint
* fix ci
* poke ci
* poke ci
* WIP
* poke ci
* poke ci
* poke ci
* change ci workspace
* poke ci
* poke ci
* poke ci
* poke ci
* delete ci
* use enum for multigraph flag
Da Zheng