Graph Network in Tensorflow

The PyTorch version of gfNN implemented by the paper.

Материалы, собранные и написанные при подготовке к хакатону. Здесь много ссылок на полезные материалы и кода, пользуйтесь

Papers on the topic of multimodal learning with graphs

New York Stock Exchange Temporal Graph Construction and Node Regression for Price Prediction

Generative Neural Networks for Horse Image Colourization using Autoencoders. Reconstructing MNIST digits using Convolutional Autoencoders and GANs (Generative Adversarial Networks/ Generator-Discriminator). Adversarial Attack examples with MNIST.

This repository presents and compares HeterSUMGraph and variants using GATConv, GATv2Conv and a combination of HeterSUMGraph and SummaRuNNer (using HeterSUMGraph as a sentence encoder).

Busyness Graph Neural Network (BysGNN): A framework for accurate Point-of-Interest visit forecasting using dynamic graphs that capture spatial, temporal, semantic, and taxonomic contexts. Presented at ACM SIGSPATIAL 2023, this repository includes code, baselines, and experiments.

Youtube Video Classification on Twitter, using graph neural networks , BERT, LSTM ... And analysis with Pig/Hive/Pyspark/MongoDB/Neo4j Using Apache Kafka, manage the acquisition of a data stream.

Graph neural network modeling team performance through causal dynamics of internal dynamics, external collaborations, and contextual factors from Complexity Sciences.

GrowForever 通过 GPT+GNN 混合模型与 Neo4j 图数据库，将用户输入的想法、经历与情感结构化为可视化知识图谱，帮助持续探索与管理个人认知网络。

[WSDM'24 Oral] The official implementation of paper <DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting>

Enhance supply chain forecasting with GRAPHINE, a novel Virtual Node Diffusion-Convolutional RNN for improved fuel efficiency and accurate spatiotemporal modeling. 🚀📊

The PyTorch version of GDC implemented by the paper.

Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia

Node Classification on large Knowledge Graphs of Cora Dataset using Graph Neural Network (GNN) in Pytorch.

Graph Network for Protein

A collection of image captioning algorithms

Node Duplication Improves Cold-start Link Prediction

This repository contains implementation of Graph Attention Networks(GATs) using Pytorch.