lemonviv / ARM-Net

A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, and etc.

ARM-Net: Adaptive Relation Modeling Network for Structured Data

This repository contains our PyTorch implementation of ARM-Net: Adaptive Relation Modeling Network for Structured Data. We also provide the implementation of relevant baseline models for structured (tabular) data learning.

Our lightweight framework for structured data analytics implemented in Singa can be found on our project site.

Benchmark Dataset

• Frappe - App Recommendation
• MovieLens - Movie Recommendation
• Avazu - Click-Through Rate Prediction
• Criteo - Display Advertising Challenge
• Diabetes130 - Diabetes Readmission Prediction

Baseline Model

Model	Code	Reference
Logistic Regression	LR, lr.py
Factorization Machine	FM, fm.py	S Rendle, Factorization Machines, 2010.
Attentional Factorization Machine	AFM, afm.py	J Xiao, et al. Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks, 2017.
Higher-Order Factorization Machines	HOFM, hofm.py	M Blondel, et al. Higher-Order Factorization Machines, 2016.
Deep Neural Network	DNN, dnn.py
Graph Convolutional Networks	GCN, gcn.py	T Kipf, et al. Semi-Supervised Classification with Graph Convolutional Networks, 2016.
Graph Convolutional Networks	GAT, gat.py	P Veličković, et al. Graph Attention Networks, 2017.
Wide&Deep	Wide&Deep, wd.py	HT Cheng, et al. Wide & Deep Learning for Recommender Systems, 2016.
Product Neural Network	IPNN/KPNN, pnn.py	Y Qu, et al. Product-based Neural Networks for User Response Prediction, 2016.
Neural Factorization Machine	NFM, nfm.py	X He and TS Chua, Neural Factorization Machines for Sparse Predictive Analytics, 2017.
DeepFM	DeepFM, dfm.py	H Guo, et al. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, 2017.
Deep & Cross Network	DCN/DCN+, dcn.py	R Wang, et al. Deep & Cross Network for Ad Click Predictions, 2017.
Gated Linear Unit	SA_GLU, sa_glu.py	Y N. Dauphin, et al. Language Modeling with Gated Convolutional Networks, 2017
xDeepFM	CIN/xDeepFM, xdfm.py	J Lian, et al. xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems, 2018.
Context-Aware Self-Attention Network	GC_ARM, gc_arm.py	B Yang, et al. Context-Aware Self-Attention Networks, 2019
AFN	AFN/AFN+, afn.py	W Cheng, et al. Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions, 2020.
ARM-Net	ARM-Net/ARM-Net+, armnet.py	S Cai, et al. ARM-Net: Adaptive Relation Modeling Network for Structured Data, 2021.

Citation

If you use our code in your research, please kindly cite:

@inproceedings{DBLP:conf/sigmod/CaiZ0JOZ21,
  author    = {Shaofeng Cai and
               Kaiping Zheng and
               Gang Chen and
               H. V. Jagadish and
               Beng Chin Ooi and
               Meihui Zhang},
  title     = {ARM-Net: Adaptive Relation Modeling Network for Structured Data},
  booktitle = {{SIGMOD} '21: International Conference on Management of Data, Virtual
               Event, China, June 20-25, 2021},
  pages     = {207--220},
  publisher = {{ACM}},
  year      = {2021},
}

Contact

To ask questions or report issues, you can directly drop us an email.