Ecosyste.ms: Repos

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GitHub topics: graph-attention-network

Jhy1993/HAN

Heterogeneous Graph Neural Network

Language: Python - Size: 40.3 MB - Last synced: 10 days ago - Pushed: about 4 years ago - Stars: 1,031 - Forks: 222

njmarko/gat-or

GATor is a Graph Attention Network for object detection with relational reasoning

Language: Jupyter Notebook - Size: 3.25 MB - Last synced: 14 days ago - Pushed: over 2 years ago - Stars: 5 - Forks: 0

gu-yaowen/MTPredictor

A Drug Metabolite & Toxicity Property Predictor Based on Graph Neural Network

Language: Python - Size: 5.15 MB - Last synced: 18 days ago - Pushed: about 3 years ago - Stars: 2 - Forks: 0

double125/Graph-Matching-Attention

Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering

Language: Python - Size: 2.5 MB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 8 - Forks: 1

RickyMiura/Traffic-Speed-Forecasting

This repository contains the source code for our Senior Capstone Project, a cornerstone of the Data Science major at UC San Diego.

Language: Jupyter Notebook - Size: 121 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

gordicaleksa/pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Language: Jupyter Notebook - Size: 25.2 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 2,232 - Forks: 310

thunlp/KernelGAT

The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.

Language: Python - Size: 2.26 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 166 - Forks: 36

IndexFziQ/GNN4NLP-Papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Size: 188 KB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 855 - Forks: 139

withai/Docked-protein-Interaction-ranking-using-graph-neural-networks

A deep learning library to rank protein complexes using graph neural networks

Language: Python - Size: 166 MB - Last synced: 7 months ago - Pushed: almost 4 years ago - Stars: 6 - Forks: 1

YeskendirK/Reducing-Oversmoothing

Source code accompanying the paper "Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings" published in DLG-AAAI’23

Language: Python - Size: 12.7 KB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

wzever/RGCN-GAT-Link-Prediction

Course project of SJTU CS3319: Foundations of Data Science, 2023 spring

Language: Python - Size: 6.26 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 1 - Forks: 0

dice-group/GATES

Graph Attention Networks for Entity Summarization is the model that applies deep learning on graphs and ensemble learning on entity summarization tasks.

Language: Python - Size: 137 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

ShuvozitGhose/Ground-Terrain-EoT

Modeling Extent-of-Texture Information for Ground Terrain Recognition

Language: Python - Size: 335 KB - Last synced: 11 months ago - Pushed: about 4 years ago - Stars: 3 - Forks: 0

khanmhmdi/GAT-Graph-attention-neural-network-

This repository contain the unofficial implementation of the graph attention neural network.

Size: 1.71 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 7 - Forks: 0

raunakkmr/GraphSAGE-and-GAT-for-link-prediction

GraphSAGE and GAT for link prediction.

Language: Jupyter Notebook - Size: 12.5 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 51 - Forks: 14

bmezaris/Gated-ViGAT

Gated-ViGAT. Code and data for our paper: N. Gkalelis, D. Daskalakis, V. Mezaris, "Gated-ViGAT: Efficient bottom-up event recognition and explanation using a new frame selection policy and gating mechanism", IEEE International Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.

Language: Python - Size: 169 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

taishan1994/pytorch_gat

Pytorch implementation of graph attention network

Language: Python - Size: 241 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 3

taishan1994/pytorch_HAN

异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch

Language: Python - Size: 75.2 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 58 - Forks: 11

xiaoqian19940510/TASLP-EAREE

The GitHub repository for the paper "Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations"

Language: Python - Size: 4.33 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 20 - Forks: 3

raunakkmr/Graph-Attention-Networks

PyTorch implementation of Graph Attention Networks

Language: Python - Size: 9.77 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 18 - Forks: 5

bmezaris/ViGAT

This repository hosts the scripts and some of the pre-trained models presented in out paper "ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network", IEEE Access, 2022.

Language: Python - Size: 224 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

smyconan/PytorchGAT

Dense and Sparse Implementation of GAT written by PyTorch

Language: Python - Size: 162 KB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

animeshprasad/Glocal

Keyphrase extraction using graph convolution

Language: Python - Size: 5.03 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 4 - Forks: 5

parsa-abbasi/GAT Fork of PetarV-/GAT

Graph Attention Networks (GATs)

Language: Python - Size: 6.06 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

Related Keywords
graph-attention-network 24 graph-neural-networks 8 pytorch 8 deep-learning 7 graph-neural-network 5 gat 5 graph 4 heterogeneous-graph 3 neural-networks 2 graph-convolutional-networks 2 explainable-ai 2 self-attention 2 video 2 graph-attention-networks 2 attention-mechanism 2 geometric-deep-learning 2 heterogeneous-network 2 network-embedding 2 heterogeneous-graph-neural-network 2 attention-network 1 graphsage 1 neural-network 1 attention-is-all-you-need 1 ground-terrain-recognition 1 extent-of-texture-modeling 1 deeplearning 1 text-embeddings 1 knowledge-graph-embeddings 1 entity-summarization 1 ensemble-learning 1 deep-learning-on-graphs 1 rgcn-architecture 1 recommender-system 1 pytorch-implementation 1 reinforcement-learning 1 attention-model 1 multi-task 1 bert 1 tensorflow 1 bottom-up-analysis 1 event-explanation 1 event-recognition 1 deeplearn 1 video-events 1 video-event-recognition 1 gnn 1 gnn-model 1 gating 1 frame-selection-policy 1 torch 1 explainability 1 pytorch-gat 1 python 1 jupyter 1 gat-tutorial 1 attention 1 traffic-speed-forecasting 1 spatial-temporal 1 visual-question-answering 1 graph-matcing-network 1 feature-fusion 1 cross-modality-vqa 1 toxicity 1 metabolites 1 admet 1 object-detection 1 faster-rcnn 1 link-prediction 1 academic-network 1 oversmoothing 1 graph-algorithms 1 protein-interaction-ranking 1 protein-interaction 1 graph-convolutional-neural-networks 1 question-answering 1 paperlist 1 paper-list 1 natural-language-processing 1 knowledge-representation 1 knowledge-graph 1 knowledge-based-systems 1 heterogeneous-graphs 1 kernel 1 fact-verification 1