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deep-graph-library

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VITA-Group /Deep_GCN_Benchmarking

[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

benchmark dropout normalization skip-connections graph-neural-networks training-tricks deep-graph-library deep-graph-networks ogb

UpdatedDec 29, 2021
Python

shionhonda /gae-dgl

Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.

python deep-learning pytorch graph-convolutional-networks graph-neural-networks deep-graph-library dgl

UpdatedJan 31, 2023
Python

sisaman /LPGNN

Locally Private Graph Neural Networks (ACM CCS 2021)

deep-learning pytorch differential-privacy graph-neural-networks pytorch-geometric deep-graph-library graph-deep-learning

UpdatedJul 2, 2025
Jupyter Notebook

MuMiN-dataset /mumin-build

Seamlessly build the MuMiN dataset.

graph dataset misinformation mumin pytorch-geometric deep-graph-library

UpdatedDec 20, 2023
Python

zahta /Graph-Machine-Learning

Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.

machine-learning deep-neural-networks deep-learning graph-algorithms code networkx representation-learning graph-machine-learning graph-embedding graph-neural-networks pytorch-geometric deep-graph-library dgl

UpdatedJan 24, 2025
Jupyter Notebook

SparkDevF19 /ai-program-translation

Program Translator AI built on Pytorch

attention-mechanism flask-server encoder-decoder treelstm pytorch-nlp deep-graph-library

UpdatedDec 19, 2019
Python

DavydovDmitry /absa

Pipeline for Aspect-Based Sentiment Analysis of texts

pytorch aiohttp deep-graph-library

UpdatedSep 5, 2020
Jupyter Notebook

Linnore /GNN-Playground

Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.

gin node-classification graphsage mlflow gat pytorch-geometric gnn deep-graph-library

UpdatedSep 13, 2024
Python

ashishkulkarnii /graph-based-recommender

Semester 6: NAM Project. A recommender system using link prediction algorithms and GCN.

community-detection pytorch networkx link-prediction pesu deep-graph-library ue20cs344 network-analysis-and-mining

UpdatedApr 26, 2023
Jupyter Notebook

MK-ek11 /Graphs-using-DGL

Social Computing with Deep Graph Library (DGL)

numpy pandas pytorch networkx matplotlib social-graph deep-graph-library dgl-graph

UpdatedMar 11, 2023
Jupyter Notebook

locuoco /graph-attention-networks

Graph Attention Networks (GATs) for node classification and regression tasks

deep-learning tensorflow keras networkx attention-mechanism keras-tensorflow attention-model graph-attention-networks node-classification jax transductive-learning inductive-learning deep-graph-library dgl node-regression

UpdatedOct 9, 2024
Python

gaurav1154 /graph-neural-network-course

🌐 Explore Graph Neural Networks through this comprehensive course, covering essential architectures and cutting-edge research in deep learning.

benchmark machine-learning deep-neural-networks deep-learning neural-network graph-algorithms code pytorch deepwalk protein networkx ppi graph-machine-learning graph-convolutional-networks iit-delhi deep-graph-library dgl brightkite

UpdatedNov 29, 2025
Jupyter Notebook

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