128 Open source projects that are alternatives of or similar to Pytorch_geometric

StellarGraph - Machine Learning on Graphs

links to conference publications in graph-based deep learning

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

Tutorials for Machine Learning on Graphs

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

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

A reading list for deep graph learning acceleration.

Representation Learning on Graphs with Jumping Knowledge Networks

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

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Geometric Deep Learning for Flux

Code and resources on scalable and efficient Graph Neural Networks

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

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

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

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).

A distributed graph deep learning framework.

TypeDB-ML is the Machine Learning integrations library for TypeDB

Implementation of "Overlapping Community Detection with Graph Neural Networks"

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

No description or website provided.

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

Graph-based Deep Q Network for Web Navigation

Combining relational context and relational paths for knowledge graph completion

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

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).

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

Inductive relation prediction by subgraph reasoning, ICML'20

A graph-based deep learning framework for life science

Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

A spherical convolutional neural network for cosmology (TFv1).

PyTorch Implementation of GraphTSNE, ICLR’19

Papers about explainability of GNNs

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

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

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

ACL 2018: Dating Documents using Graph Convolution Networks

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

Implementation of Directional Graph Networks in PyTorch and DGL

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

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

Supervised community detection with line graph neural networks

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Combining relational context and relational paths for knowledge graph completion

This is a Pytorch implementation of GraphLIME

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Representing Long-Range Context for Graph Neural Networks with Global Attention

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

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)