99 Open source projects that are alternatives of or similar to deepsphere-weather

A spherical convolutional neural network for cosmology (TFv1).

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

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

Implementation of Directional Graph Networks in PyTorch and DGL

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 WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Graph Neural Network Library for PyTorch

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

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Graph-based Deep Q Network for Web Navigation

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

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

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

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

StellarGraph - Machine Learning on Graphs

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

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

Awesome Graph Self-Supervised Learning

Implementation of "Overlapping Community Detection with Graph Neural Networks"

Code and resources on scalable and efficient Graph Neural Networks

Combining relational context and relational paths for knowledge graph completion

Subgraph Neural Networks (NeurIPS 2020)

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

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Combining relational context and relational paths for knowledge graph completion

Demo of RouteNet in ACM SIGCOMM'19

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

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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

AAAI'21: Data Augmentation for Graph Neural Networks

A distributed graph deep learning framework.

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

Graph Neural Networks with Keras and Tensorflow 2.

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

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

Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)

links to conference publications in graph-based deep learning

Reimplementation of Graph Embedding methods by Pytorch.

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

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Inductive relation prediction by subgraph reasoning, ICML'20

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

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

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

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

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

Implement of DiGCN, NeurIPS-2020

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).

No description or website provided.

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

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

Visualization tool for Graph Neural Networks

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

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

Pytorch differentiable molecular dynamics

Summary of social recommendation papers and codes