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19 search results found

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Benchmarking Gnns ⭐ 2,196

Repository for benchmarking graph neural networks

Benchmark datasets, data loaders, and evaluators for graph machine learning

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Pretrain Gnns ⭐ 805

Strategies for Pre-training Graph Neural Networks

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

Knowledge_graph_attention_network ⭐ 434

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

Graph Neural Networks With Heterophily ⭐ 162

This repository contains the resources on graph neural network (GNN) considering heterophily.

Graph Convnet Tsp ⭐ 157

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Graphrec_pytorch ⭐ 137

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

Code for Knowledge-Embedded Routing Network for Scene Graph Generation (CVPR 2019)

Companykg ⭐ 103

🔥 CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification

Graph Networks ⭐ 101

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Visual Compatibility ⭐ 98

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

Kgcn Pytorch ⭐ 84

KGCN pytorch model implementation

Graphnorm ⭐ 78

The official implementation of Graph Normalization

Demo Routenet ⭐ 76

Demo of RouteNet in ACM SIGCOMM'19

Combining relational context and relational paths for knowledge graph completion

Gnnscvuldetector ⭐ 65

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

Clinical Trial Outcome Prediction ⭐ 60

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

AAAI 2021-Deep Fusion Clustering Network

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Zero Shot Indoor Localization Release ⭐ 41

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Tensorflow implementation of ACL2020 paper "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks."

Benchmark_dataset_for_graph_classification ⭐ 33

This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

Geometric Gnns ⭐ 27

List of Geometric GNNs for 3D atomic systems

Deep Vessel Segmentation by Learning Graphical Connectivity

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Subgraph Neural Networks (NeurIPS 2020)

Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.

Open Knowledge Enrichment for Long-tail Entities, WWW 2020

Skeleton Action Recognition ⭐ 5

NTU RGB+D Dataset Action Recognition with GNNs and CNNs

HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.

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