GitHub topics: gnn-learning
keitabroadwater/gnns_in_action
Code and Content for Manning Publication on Graph Neural Networks
Language: Jupyter Notebook - Size: 44.7 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 74 - Forks: 20
gongchenghua/Papers-Graphs-with-Heterophily
A Survey of Learning from Graphs with Heterophily
Size: 1.04 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 120 - Forks: 5
MeepMutyala/SURRF
Originally the Intersectional Graph Project, SURRF (The Semantic Ubiquitous Relations Research Framework) is an AI-assisted, graph-based research engine, built with the perplexity.ai API and NextJS. SURRF enables researchers to navigate the web while creating knowledge graphs that users can save, organize, compile, and share.
Language: JavaScript - Size: 114 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
etechoptimist/knowledge_graph_usecase
This repository shows a use case of Graph ML for casinos in marketing: Market Segmentation . Skills: Azure SDK, azure datalake, node2vec, graphml, geometric pytorch, gnn
Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
abdullah-al-masud/graph-convolutional-network
This repository is a brief tutorial about how Graph convolutional networks and message passing networks work with example code demonstration using pytorch and torch_geometric
Language: Python - Size: 1.34 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0
Billy1900/GNN-Learning-and-Integration
Awesome GNN Learning For beginners
Size: 22.5 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 2
HamzaGbada/GCN-Numpy
An implementation from scratch of Graph Convolutional Networks (GCN) using Numpy
Language: Python - Size: 544 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
H4Y3J1N/Graph-Travel
with GUG, Let's explore the Graph Neural Network!
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martijnv11/MV-Graphs
Try-out space for Graph Neural Networks
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rvdb7345/ArticleClassifier
Literature indexing using Graph Neural Networks and label-guided text embeddings.
Language: Jupyter Notebook - Size: 25.5 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
aravi11/EAGNN
Official PyTorch Implementation of paper 'Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction'
Language: Python - Size: 3.56 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
xiaomingaaa/GNNApp-Papers
Listing the research works related to risk control based on GNN and its interpretability. 1. we can learn the application of GNN in risk control (including fraud detection). 2. For possible prediction, we can use the interpretability of GNN to explaine how can we get such results.
Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 4
aravi11/funcGNN
CFG based program similarity using Graph Neural Networks
Language: Python - Size: 18.7 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 7
axyz1288/GNN
Implement GNN models (GAT, GCN)
Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
elias-ba/gnn-workshop-galsenai
A collection of GNN projects
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BenceV/Honours-PushesAndGNNs
In this project I explore an potential approach to estimate a human’s intention in a dyadic collaborative manipulation task by learning to predict the intended future trajectory of the co-manipulated object via the latent graph representation of the system.
Size: 2.69 GB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
jhyun0919/Project_EE394V_SPR2021
code & report files for Project of EE394V SPR 2021
Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1
