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Digby-L / GNN-Conversation-Graph

Star 3

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Graph neural networks (GNNs) with conversation graphs in improving dialogue management. Subgraphs and neighbourhoods study on dialogue history. In cooperation with Huawei Noah's Ark Lab (London).

nlp lstm rnn mlp bi-lstm dialogue-management gnn subgraphs conversation-graphs

• Updated Mar 16, 2022
• Python

rimo02 / Graph-Neural-Networks

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Gnn works from DeepFindr

knowledge-graph gcn gnn

• Updated Apr 7, 2024
• Jupyter Notebook

aurorarossi / predictBrainActivity

Star 1

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fMRI Signal Prediction with STGNN

julia neuroscience fmri spatio-temporal-prediction graph-neural-networks fmri-analysis gnn

• Updated Jul 25, 2024
• Julia

vantahawk / Graph_Learning_Group6

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Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University

graph random-walk link-prediction gcn node2vec node-classification graph-learning graphlet virtual-nodes gnn torch-scatter closed-walk weisfeiler-leman graph-collation

• Updated Aug 15, 2024
• Python

alphanome-ai / gnn-causality-research

Star 17

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Exploring Causal Inferences in Finance with Graph Neural Networks

nlp open-source machine-learning natural-language-processing data-mining ai artificial-intelligence fintech predictive-modeling financial-analysis causality nlp-machine-learning causal-inference semantic-analysis sec-filings graph-neural-networks gnn graph-neural-network ai-for-finance sec-parser

• Updated Nov 10, 2023

DiegoVallarino / gnn-structural-hazards

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"Structural Hazards in Global Production: A Graph Neural Network Approach to Sectoral Survival"** by Diego Vallarino (2025), as a Working Paper status

causal-inference gnn gnn-algorithm industrial-policy deepsurv industrial-dynamics firms-survival econometric-modeling

• Updated Nov 2, 2025
• Python

lucasb0d3 / IoTSage-IoT-Botnet-Detection-with-GraphSAGE

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🔍 Detect IoT botnets like Mirai using GraphSAGE to analyze device activity as graphs, identifying malicious behavior effectively.

iot machine-learning deep-learning mirai intrusion-detection botnet-detection anomaly-detection graphsage gnn github-config torch-geometric

• Updated Sep 8, 2025
• Jupyter Notebook

shahram-boshra / ne_class

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Molecular Graphs Node/Edge-level Classification GNN

python machine-learning deep-learning cheminformatics pytorch rdkit edge-classification graph-convolutional-networks node-classification graph-neural-networks pytorch-geometric gnn molecular-graphs rdkit-chem molecular-property-prediction chemical-informatics molecular-graph-neural-networks node-edge-classification

• Updated Apr 3, 2025
• Python

xxxgoatacion / BAGFormer

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The Transformer-based pipeline for urban intersection traffic pattern forecasting, robust to missing data and easy to reproduce.

transformer pattern-recognition traffic-prediction gnn

• Updated Apr 26, 2025
• Jupyter Notebook

dinner-group / SubFormer

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Implementation of Subgraph Transformer (SubFormer) based on torch-geometric package.

transformer molecular-modeling gnn

• Updated Apr 7, 2024
• Python

stevezheng23 / graph_network_tf

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Graph Network in Tensorflow

machine-learning natural-language-processing deep-learning artificial-intelligence gn natural-language-understanding gnn graph-network graph-neural-network

• Updated Jul 11, 2019
• Python

rhfdn / HeterSUMGraph

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

natural-language-processing extractive-text-summarization gat gnn gatv2 hetersumgraph

• Updated Sep 25, 2023
• Jupyter Notebook

pietro-foini / Mentor

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

network classification graph-neural-networks gnn

• Updated Dec 30, 2024
• Jupyter Notebook

shredder67 / vk-graphs-prep

Star 2

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

notes gnn

• Updated Sep 23, 2022
• Jupyter Notebook

hazdzz / gfNN

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The PyTorch version of gfNN implemented by the paper.

gnn

• Updated Mar 4, 2022
• Python

GiulianoDiGiuseppe / Youtube-Video-Classification-on-Twitter-and-Homeworks

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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.

kafka mongodb hive pyspark lstm pig bert graph-neural-networks gnn

• Updated Jun 20, 2023
• Jupyter Notebook

Shen16 / MIE1517_DeepLearning_Lab3

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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.

image-reconstruction generative-adversarial-network image-colorization convolutional-autoencoder adversarial-attacks gnn autoencoder-neural-network generative-ai

• Updated Feb 12, 2024
• Jupyter Notebook

fuvty / DeSCo

Star 22

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

graph subgraph-count gnn subgraph-mining

• Updated Mar 11, 2024
• Python

theveryhim / GCN

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Applying Graph Convolution Networks for enhanced classification

deep-learning gcn gnn

• Updated Jul 31, 2025
• Jupyter Notebook

amin-tehrani / NYSE-Temporal-Graph

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

graphs pytorch networkx graph-neural-networks pytorch-geometric gnn

• Updated Jan 16, 2025
• Jupyter Notebook

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