NewsReX DIGAT β€” JAX β€” MIND-small

DIGAT news recommendation model trained on MIND-small using the NewsReX framework (JAX).

Test Results

Seed AUC MRR NDCG@5 NDCG@10
123 0.6762 0.3241 0.3590 0.4219
42 * 0.6784 0.3272 0.3638 0.4254
456 0.6734 0.3222 0.3554 0.4188
mean Β± std 0.6760Β±0.0021 0.3245Β±0.0021 0.3594Β±0.0035 0.4220Β±0.0027

* Best seed (weights at repo root)

Experiment Configuration

model:
  name: digat
  architecture:
    news_encoder:
      type: msa
      msa_head_num: 16
      msa_head_dim: 25
      attention_dim: 256
    graph_encoder:
      type: digat
      graph_depth: 3
      sag_hops: 2
      sag_neighbors: 5
    click_predictor:
      type: dot_product
  embedding:
    size: 300
    trainable: true
  dropout_rate: 0.2
  seed: 42
inputs:
  title:
    max_length: 32
  history:
    max_length: 50
  impressions:
    max_length: 5
  process_title: true
  process_abstract: false
  process_category: true
  process_subcategory: false
  process_user_id: false
training:
  loss:
    name: categorical_crossentropy
    from_logits: true
    reduction: sum_over_batch_size
    label_smoothing: 0.0
  optimizer: adam
  learning_rate: 0.0001
  batch_size: 64
  grad_accum_steps: 1
  num_epochs: 20
  gradient_clip_val: 1.0
  early_stopping:
    patience: 5
    min_improvement: 0.01
  negative_sampling:
    strategy: random
    candidates: 4
evaluation:
  mode: fast
  evaluator: default
  metrics:
  - auc
  - mrr
  - ndcg@5
  - ndcg@10
  batch_size: 256

Repository Structure

newsrex/DIGAT-JAX-MIND-small/
β”œβ”€β”€ model.safetensors          ← best seed (42)
β”œβ”€β”€ test_results.json
β”œβ”€β”€ training_run_summary.json
β”œβ”€β”€ seed_123/model.safetensors
β”œβ”€β”€ seed_42/model.safetensors
β”œβ”€β”€ seed_456/model.safetensors
└── README.md

Usage

git clone https://github.com/igor17400/NewsReX.git
cd NewsReX && uv sync

# Run evaluation with best seed weights
uv run python src/eval.py \
    experiment=mind/digat \
    framework=jax \
    weights=hf://newsrex/DIGAT-JAX-MIND-small/model.safetensors

# Run evaluation with a specific seed
uv run python src/eval.py \
    experiment=mind/digat \
    framework=jax \
    weights=hf://newsrex/DIGAT-JAX-MIND-small/seed_42/model.safetensors

Citation

@misc{newsrex2026,
  title={NewsReX: An Open-Source Multi-Framework for Neural News Recommendation},
  author={Igor L. R. Azevedo and Toyotaro Suzumura and Yuichiro Yasui},
  year={2025},
  eprint={2508.21572},
  archivePrefix={arXiv},
  primaryClass={cs.IR},
  url={https://arxiv.org/abs/2508.21572},
}
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Paper for newsrex/DIGAT-JAX-MIND-small