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+.
* 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* remove outdated comments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
Jinjing Zhou