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

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).

Message Passing Neural Networks for Simplicial and Cell Complexes

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

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Inductive relation prediction by subgraph reasoning, ICML'20

Locally Private Graph Neural Networks (ACM CCS 2021)

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

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Procedural 3D data generation pipeline for architecture

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"

A spherical CNN for weather forecasting

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

A spherical convolutional neural network for cosmology (TFv1).

PyTorch Implementation of GraphTSNE, ICLR’19

AAAI'21: Data Augmentation for Graph Neural Networks

Papers about explainability of GNNs

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

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

Pytorch differentiable molecular dynamics

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

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

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

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

ACL 2018: Dating Documents using Graph Convolution Networks

Subgraph Neural Networks (NeurIPS 2020)

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

Summary of social recommendation papers and codes

Supervised community detection with line graph neural networks

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

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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

Combining relational context and relational paths for knowledge graph completion

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Visualization tool for Graph Neural Networks

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

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

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

Demo of RouteNet in ACM SIGCOMM'19

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

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

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

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

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

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

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

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

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.

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

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Probabilistic Type Inference using Graph Neural Networks

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

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

A collection of important graph embedding, classification and representation learning papers with implementations.

Graph-based machine learning for chemical property prediction

Implement of DiGCN, NeurIPS-2020