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.gitignore

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dashboard/public/data/results.json
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dashboard/public/data/results-manifest.json
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dashboard/public/data/results/
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dashboard/public/data/artifacts/*-sweep-*/
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run:
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name: best_text_transductive_gat_dbpedia_14_R6-seed3
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seed: 3
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output_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/outputs/R6/transductive/gat/text/dbpedia_14/best_text_transductive_gat_dbpedia_14_R6-sweep-20260407T073920Z
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log_level: detailed
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fail_fast: true
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limits:
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profile: auto
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dataset:
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id: dbpedia_14
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download: true
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cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/datasets
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options:
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text_column: content
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label_column: label
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prefer_test_split: true
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sampling:
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seed: 3
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plan:
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split:
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kind: holdout
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test_fraction: 0.2
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val_fraction: 0.1
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stratify: true
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shuffle: true
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labeling:
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mode: per_class
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value: 50
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strategy: balanced
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min_per_class: 1
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per_class: true
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fixed_indices: null
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imbalance:
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kind: none
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policy:
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respect_official_test: true
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use_official_graph_masks: true
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allow_override_official: false
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preprocess:
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seed: 3
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fit_on: train_labeled
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cache: true
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cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/preprocess
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plan:
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output_key: features.X
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steps:
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- id: labels.encode
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- id: text.ensure_strings
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- id: text.sentence_transformer
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params:
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batch_size: 32
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model_id: st:all-MiniLM-L6-v2
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- id: core.pca
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params:
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n_components: 128
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- id: core.to_numpy
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method:
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kind: transductive
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id: gat
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device:
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device: auto
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dtype: float32
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resolved_device: cuda
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params:
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head_dim: 8
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heads: 8
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dropout: 0.6
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negative_slope: 0.2
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lr: 0.005
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weight_decay: 0.0005
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max_epochs: 200
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patience: 100
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add_self_loops: true
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evaluation:
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split_for_model_selection: val
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report_splits:
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- val
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- test
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metrics:
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- accuracy
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- macro_f1
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graph:
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enabled: true
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seed: 3
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cache: true
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cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/graph
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spec:
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scheme: knn
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metric: cosine
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k: 15
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symmetrize: mutual
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weights:
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kind: heat
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sigma: 1.0
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normalize: rw
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self_loops: true
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backend: numpy
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chunk_size: 1024
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feature_field: features.X

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