98 Open source projects that are alternatives of or similar to cwn

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Graph Neural Networks with Keras and Tensorflow 2.

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

Visualization tool for Graph Neural Networks

Inductive relation prediction by subgraph reasoning, ICML'20

Subgraph Neural Networks (NeurIPS 2020)

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Awesome Graph Self-Supervised Learning

links to conference publications in graph-based deep learning

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

Demo of RouteNet in ACM SIGCOMM'19

An index of recommendation algorithms that are based on Graph Neural Networks.

Disentagnled Graph Collaborative Filtering, SIGIR2020

Summary of social recommendation papers and codes

A distributed graph deep learning framework.

Tutorials for Machine Learning on Graphs

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Summary of open source code for deep learning models in the field of traffic prediction

Pytorch differentiable molecular dynamics

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Reimplementation of Graph Embedding methods by Pytorch.

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

odr.chalmers.se/handle/20.500.12380/256629?locale=en

AAAI'21: Data Augmentation for Graph Neural Networks

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

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

StellarGraph - Machine Learning on Graphs

Locally Private Graph Neural Networks (ACM CCS 2021)

Graph Neural Network Library for PyTorch

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

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Implementation of Directional Graph Networks in PyTorch and DGL

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Implementation of "Overlapping Community Detection with Graph Neural Networks"

A spherical CNN for weather forecasting

Graph-based Deep Q Network for Web Navigation

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Combining relational context and relational paths for knowledge graph completion

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Code and resources on scalable and efficient Graph Neural Networks

A curated list of awesome graph & self-supervised-learning-based recommendation.

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Code for the CHAMPS Predicting Molecular Properties Kaggle competition