PyTorch implementation of ARM-Net: Adaptive Relation Modeling Network for Structured Data.

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 in our project site.

Benchmark Dataset

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.

PyTorch implementation of ARM-Net: Adaptive Relation Modeling Network for Structured Data.

Related tags

Overview

ARM-Net: Adaptive Relation Modeling Network for Structured Data

Benchmark Dataset

Baseline Model

Citation

Contact

Owner

This is an example implementation of the paper "Cross Domain Robot Imitation with Invariant Representation".

ArtEmis: Affective Language for Art

Pytorch implementation of DeePSiM

[WACV 2022] Contextual Gradient Scaling for Few-Shot Learning

This project is a re-implementation of MASTER: Multi-Aspect Non-local Network for Scene Text Recognition by MMOCR

Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

Temporal-Relational CrossTransformers

Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021

Repository for paper "Non-intrusive speech intelligibility prediction from discrete latent representations"

This is the codebase for Diffusion Models Beat GANS on Image Synthesis.

Official code for 'Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentationon Complex Urban Driving Scenes'

The codebase for Data-driven general-purpose voice activity detection.

Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network

Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

Self-Supervised Document-to-Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference

Implementation of "Semi-supervised Domain Adaptive Structure Learning"

Multiview 3D object detection on MultiviewC dataset through moft3d.

Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage

Hyperbolic Image Segmentation, CVPR 2022