bgl3 · Graph CNN

reference_bgl3_gcn_plm_randomf2_20261104-182443

Metrics

Set	mse	pearsonr	spearmanr	r2	above_wt_n	above_wt_spearmanr	budget_to_max	hit_rate_at_10	mean_at_10	max_at_10	captured_at_10	hit_rate_at_50	mean_at_50	max_at_50	precision_at_50	captured_at_50	hit_rate_at_100	mean_at_100	max_at_100	precision_at_100	captured_at_100	hit_rate_at_1pct	mean_at_1pct	max_at_1pct	precision_at_1pct	captured_at_1pct
train	1.1767	0.6271	0.5735	0.3926	6114.0000	0.1905	4456.0000	0.9000	1.2399	1.7259	0.4505	0.9200	1.2666	3.1160	0.0600	0.5223	0.9100	1.1751	3.1160	0.0600	0.5243	0.9000	1.1507	3.1160	0.0625	0.5387
validation	1.3662	0.5519	0.4909	0.3026	2110.0000	0.1047	191.0000	0.8000	0.7478	1.6946	0.3496	0.7400	0.6630	1.9459	0.0000	0.3594	0.6600	0.5232	2.5002	0.0300	0.3237	0.7547	0.6763	1.9459	0.0000	0.3661
test	1.4431	0.5404	0.4889	0.2896	2044.0000	0.1114	2708.0000	0.7000	0.7512	2.0174	0.3554	0.7400	0.7996	2.0841	0.0000	0.4172	0.6900	0.6576	2.5419	0.0500	0.3902	0.7170	0.7677	2.0841	0.0000	0.4078

Loss per epoch

training validation

Config

name: reference_bgl3_gcn_plm_randomf2
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  graph_threshold: 6
  split_scheme: random
  split_fold: 2
model:
  name: gcn
  filters:
  - 32
  hidden:
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7