Shapley Interactions and Shapley Values for Machine Learning
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Updated
Sep 1, 2026 - Python
Shapley Interactions and Shapley Values for Machine Learning
This repo includes some graph-based CTR prediction models and other representative baselines.
ICML 2025 | GE4Rec: supervised feature generation paradigm for CTR prediction models.
Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. TKDD, 2024.
Paper notes on RecSys / Ads / Search (搜广推). Companion to WeChat「稳扎稳打学AI」. Notes-first, not a code warehouse.
[CIKM 2021] Implementations for Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
GPU-Accelerated Feature Interaction Mining Engine (GAFIME) — native heterogeneous execution across Rust CPU/SIMD, CUDA, ROCm/HIP, and Metal.
Port of the JS driver library for Vue with the possibility of headless components
A graph-based neural network designed to handle feature interactions in a flexible and learnable way.
Automated GLM interaction detection for insurance pricing — CANN, NID scoring, SHAP interaction values
Replication code and hash-traced artifacts for sparse pair and triple interaction support selection.
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