application: knowledge graph resource: gpus: [] cpu_per_gpu: auto dim: 512 graph: file_name: normalization: true build: optimizer: type: SGD lr: 1.0e-2 weight_decay: 0 num_partition: auto num_negative: 64 batch_size: 100000 episode_size: 200 train: model: RotatE num_epoch: 1000 margin: 6 sample_batch_size: 2000 adversarial_temperature: 0.2 relation_lr_multiplier: 1 log_frequency: 500 evaluate: task: link prediction file_name: filter_files: - - - # fast_mode: 1000 save: file_name: rotate_wikidata5m.pkl