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This repository collects debiasing methods for recommendation

444 53 Updated Feb 19, 2024

Code for "Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework" (ICDM 2020).

C++ 8 1 Updated Apr 18, 2021

Heterogeneous Graph Neural Network

Python 1,178 223 Updated May 6, 2020

code of HetGNN

Python 412 100 Updated Feb 22, 2020

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Python 2,886 400 Updated Sep 18, 2025

An ongoing list of pandas quirks

Jupyter Notebook 981 135 Updated May 8, 2023

Python + TensorFlow implementation of the DropoutNet model

Python 13 18 Updated Feb 4, 2018

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair…

Python 550 84 Updated Aug 8, 2024

Implementation of "Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking"

Python 38 10 Updated Sep 12, 2018

Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)

Python 49 13 Updated Jul 6, 2023

The PyTorch implementation of LightGCN

Python 998 263 Updated Aug 6, 2023

Python library assists deep learning on graphs

Python 564 56 Updated Nov 11, 2023

Next RecSys Library

Python 1,059 218 Updated Mar 24, 2023

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

Python 499 89 Updated Aug 12, 2022

official implementation for the paper "Simplifying Graph Convolutional Networks"

Python 845 144 Updated Dec 13, 2021

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Python 212 44 Updated Jun 6, 2023

Pytorch implementation of Graph U-Nets (ICML19)

Python 539 106 Updated Sep 17, 2020

Graph Neural Network Library for PyTorch

Python 23,073 3,903 Updated Oct 31, 2025

Representation Learning on Graphs with Jumping Knowledge Networks

Jupyter Notebook 39 10 Updated Jun 13, 2019

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Python 805 137 Updated Nov 6, 2022

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Python 167 33 Updated Nov 6, 2022

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Python 28 8 Updated May 27, 2021

A toy implementation of Neural Graph Collaborative filtering

Python 87 18 Updated Jan 10, 2020

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

Python 1,049 216 Updated Apr 5, 2022

Contains code for the CIKM 2019 publication titled "A Modular Adversarial Approach to Social Recommendation"

Python 6 1 Updated Mar 1, 2020

Python implemetation for Dirichlet Multinomial Mixture (DMM) model

Python 47 6 Updated Oct 28, 2021

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Python 1,804 310 Updated Feb 1, 2024

GraphVite: A General and High-performance Graph Embedding System

C++ 1,260 157 Updated Jun 14, 2024
Python 7 4 Updated Dec 10, 2015

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Python 655 136 Updated Nov 1, 2022
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