prod_config.yaml

data:
  ## graph datsets: cora, pubmed, citeseer
  ## hypergraph datasets: news20, ca_cora, cc_cora, cc_citeseer, dblp4k_conf, dblp4k_paper, dblp4k_term, imdb_aw, recipe_100k, recipe_200k
  name: recipe_100k
  num_train: 20
  num_val: 100
  test_ind_ratio: 0.9
  ft_noise_level: 0.0
  hc_noise_level: 1.0

model: 
  # hgnn, hgnnp, hnhn, unigcn
  teacher: hgnnp 
  # light_hgnn, light_hgnnp
  student: light_hgnnp
  hid: 128

loss:
  lamb: 0
  tau: 1.0

data_marker: ${data.name}__${data.num_train}-${data.num_val}-${data.test_ind_ratio}__noise-${data.ft_noise_level}-${data.hc_noise_level}
model_marker: ${model.teacher}-${model.student}__hid-${model.hid}
loss_marker: lamb-${loss.lamb}__tau-${loss.tau}
task: ${data_marker}__${model_marker}__${loss_marker}
res_path: cache/ind/${task}

hydra:
  run:
    dir: ${res_path}/${now:%Y-%m-%d}_${now:%H-%M-%S}
  sweep:
    dir: ${res_path}/${now:%Y-%m-%d}_${now:%H-%M-%S}
    subdir: ${hydra.job.num}