GitLab

* add hilander model implementation draft

* use focal loss

* fix

* change data root

* add necessary scripts

* update download links

* update

* update example table

* fix

* update readme with numbers

* add empty folder

* only eval at the end

* set up hilander

* inform results may fluctuate

* address comments
Co-authored-by: sneakerkg <xiaotj1990327@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-19-212.us-east-2.compute.internal>

* add machine name

* update scripts

* update script

* test commit

* change run.sh

* model acc bench for gcn and sage

* get basic pipeline setup for local benchmarking

* try to bridge pytest with asv

* fix deps

* move asv to other folders

* move dir

* update script

* new setup

* delete useless file

* delete outputs

* remove dependency on pytest

* update script

* test commit

* stuck by torch version in dgl-ci-gpu

* update readme

* update asv conf

* missing files

* remove the old regression folder

* api bench

* add batch api bench
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* diffpool original file added

* make diffpool fuse up and running

* minor tweak on tu dataset statistics method

* fix tu

* break

* delete break

* pre_org

* diffpool fuse reorg

* fix random shuffling

* fix bn

* add dgl layers

* early stopping

* add readme

* fix

* add diffpool preprocess script

* tweak tu dataset

* tweak

* tweak

* tweak

* tweak

* tweak

* preprocess dataset

* fix early stopping

* fix

* fix

* fix

* tweak

* readme

* code review

* code review

* dataset code review

* update README

* code review

* tu doc

* random walk traces generation

* remove outdated comments

* oops put in the wrong place

* explicit inline

* moving rand_r to util

* pinsage-like model on movielens

* the code runs now

* support cuda

* using readonly graph

* moving random walk to public function

* per-thread seed and openmp support

* pinsage-like model on movielens

* the code runs now

* support cuda

* using readonly graph

* using C random walk

* removing profile decorators

* param initialization

* no grad

* leaky relu fixes everything

* train and save

* WIP

* WIP

* WIP

* seems to work

* evaluation output

* swapping order of val/test and train

* debug

* hyperparam tuning

* prior/training dataset split changes

* random walk reorg

* random walk with restart

* signed comparison fix

* migrating random walk to nodeflow

* Revert "migrating random walk to nodeflow"

This reverts commit f2565347cced7c912a58a529b257c033d9f375b7.

* add README and remove dataset

* new endpoint

* lint

* lint x2

* oops forgot test

* including bpr - better for baseline

* addressing fixes

* throwing random walks out from SamplerOp class

* forgot to move RandomWalk; why did this even work?

* removing legacy garbage

* add todo

* address comments

* stupid bug fix

* call ndarrayvector converter to handle traces