graph-attention-networks | Topic

Topic: "graph-attention-networks"

benedekrozemberczki/awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Language: Python - Size: 1.79 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 4,790 - Forks: 740

PetarV-/GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Language: Python - Size: 4.6 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 3,333 - Forks: 660

Diego999/pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Language: Python - Size: 207 KB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 3,018 - Forks: 696

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 at: 5 days ago - Pushed at: over 2 years ago - Stars: 2,527 - Forks: 333

benedekrozemberczki/CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Language: Python - Size: 4.66 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 1,254 - Forks: 199

dsgiitr/graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 13 days ago - Pushed at: 24 days ago - Stars: 1,180 - Forks: 227

xiangwang1223/knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Language: Python - Size: 97.2 MB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 1,104 - Forks: 320

Jiakui/awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

Size: 104 KB - Last synced at: 12 days ago - Pushed at: almost 6 years ago - Stars: 891 - Forks: 135

danielegrattarola/keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

Language: Python - Size: 5.63 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 484 - Forks: 124

benedekrozemberczki/MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Language: Python - Size: 5.06 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 404 - Forks: 56

mlabonne/graph-neural-network-course

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 349 - Forks: 71

tech-srl/how_attentive_are_gats

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Language: Python - Size: 3.34 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 328 - Forks: 40

xptree/DeepInf

DeepInf: Social Influence Prediction with Deep Learning

Language: Python - Size: 84.1 MB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 294 - Forks: 86

ML4ITS/mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Language: Python - Size: 899 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 234 - Forks: 61

Marigoldwu/A-Unified-Framework-for-Deep-Attribute-Graph-Clustering

This project is a scalable unified framework for deep graph clustering.

Language: Python - Size: 16 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 102 - Forks: 12

kevalmorabia97/CoVA-Web-Object-Detection

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

Language: Python - Size: 1.4 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 92 - Forks: 14

QData/LaMP

ECML 2019: Graph Neural Networks for Multi-Label Classification

Language: Python - Size: 441 KB - Last synced at: 8 days ago - Pushed at: 9 months ago - Stars: 90 - Forks: 18

alexmonti19/dagnet

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

Language: Python - Size: 39.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 74 - Forks: 20

aptx1231/START

[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).

Language: Python - Size: 331 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 71 - Forks: 19

LMissher/STWave

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

Language: Python - Size: 130 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 52 - Forks: 4

tk-rusch/GraphCON

GraphCON (ICML 2022)

Language: Python - Size: 1000 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 40 - Forks: 7

iamjagdeesh/Fake-News-Detection

Fake news detector based on the content and users associated with it using BERT and Graph Attention Networks (GAT).

Language: Python - Size: 19.4 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 18

zouguojian/Traffic-speed-prediction

Using to predict the highway traffic speed

Language: Python - Size: 646 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 30 - Forks: 3

endrikacupaj/LASAGNE

Source code for paper "Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks"

Language: Python - Size: 6.46 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 7

codeKgu/BiLevel-Graph-Neural-Network

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop

Language: Python - Size: 9.33 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 6

monk1337/Graph-Neural-networks-for-NLP

Graph Neural networks for NLP

Size: 618 KB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 5

timothewt/SP100AnalysisWithGNNs

S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)

Language: Jupyter Notebook - Size: 88.2 MB - Last synced at: 12 days ago - Pushed at: 11 months ago - Stars: 24 - Forks: 4

zekarias-tilahun/SelfGNN

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Language: Python - Size: 116 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 6

berksudan/GCN-Text-Classification

Text Classification using Graph Convolutional Neural Networks and Natural Language Processing Techniques

Language: Python - Size: 257 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 23 - Forks: 4

zouguojian/Travel-time-prediction

When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time

Language: Python - Size: 1.05 GB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 23 - Forks: 4

l294265421/SCAN

[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

Language: Python - Size: 1.04 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 6

alessiabertugli/AC-VRNN

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Language: Python - Size: 414 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 5

issacchan26/AntiMoneyLaunderingDetectionWithGNN

Anti Money Laundering Detection using Graph Attention Network

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 6

maplefallfrost/GAT-Stroke

Graph attention network for stroke classification

Language: Python - Size: 79.1 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 4

zouguojian/STGIN

A Novel Spatio-Temporal Generative Inference Network for Predicting the Long-Term Highway Traffic Speed

Language: Python - Size: 116 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 14 - Forks: 2

favour-nerrise/xGW-GAT

An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment

Language: Python - Size: 70.3 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 13 - Forks: 2

zetayue/CPA

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Language: Python - Size: 45.8 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 5

gcucurull/jax-gat

JAX implementation of Graph Attention Networks

Language: Python - Size: 5.1 MB - Last synced at: 22 days ago - Pushed at: about 3 years ago - Stars: 13 - Forks: 4

ICPC2022-Gypsum/GypSum_Code

Official implementation of our work, 'GypSum: Learning Hybrid Representations for Code Summarization'.

Language: Python - Size: 6.34 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 0

fmerizzi/GCN_detect_bitcoin_money_laundering

Using GCN/GAT with keras to detect money laundering in the Bitcoin Blockchain, using the Elliptic Dataset.

Language: Jupyter Notebook - Size: 2.5 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 5

YeonwooSung/PyTorch_GNN_Implementation

PyTorch implementation of GNN models

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 10 - Forks: 2

yifan-h/GCS_KI

What Has Been Enhanced in my Knowledge-Enhanced Language Model?

Language: Python - Size: 2.06 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 2

arangesh/TrackMPNN

Language: Python - Size: 1.95 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 1

stevinc/EGNNA_WND

Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network

Language: Python - Size: 5.83 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 1

IlyaOrson/CyberDreamcatcher

An Attentive Graph Agent for Topology-Adaptive Cyber Defence

Language: Python - Size: 1.04 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 1

basiralab/RG-Select

Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data

Language: Python - Size: 2.37 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 2

CuiTianyu961030/SiamHAN

The repository of SiamHAN, an IPv6 address correlation model on TLS encrypted traffic. The work has been accepted as USENIX Security 2021 accepted Paper.

Language: Python - Size: 144 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0

sagnik1511/CureGraph

Smart Interface to identify HIV inhibitors

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

li-lab-mcgill/GAT-ETM

"Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model" paper on Sci Rep (2022)

Language: Python - Size: 3.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

loserChen/Awesome-Graph

Collection of papers about graph

Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1

Knowledge-Precipitation-Tribe/Graph-neural-network

Graph-neural-network

Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3

li-boxuan/Parallel-GAT

Parallel implementations of Graph Attention Network, including CUDA, OpenMP, and TinkerPop Vertex Program.

Language: Jupyter Notebook - Size: 72.2 MB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

rishannp/Motor-Imagery---Graph-Attention-Network

This is works in attempt to develop novel, state-of-the-art models for decoding EEG MI data from patient datasets. Specifically using GAT, highlighting their potential advantages.

Language: Python - Size: 5.56 MB - Last synced at: about 24 hours ago - Pushed at: 1 day ago - Stars: 4 - Forks: 2

lrnzgiusti/on-oversquashing

Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)

Language: Jupyter Notebook - Size: 948 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

ebrahimpichka/GAT-pt

PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3

Language: Python - Size: 175 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - 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: 11 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

burcgokden/CoulGAT-Graph-Attention-Interpretability

Implementation of CoulGAT framework and screened Coulomb attention mechanism.

Language: Python - Size: 23.4 KB - Last synced at: 18 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

Aveek-Saha/Graph-Attention-Net

A TensorFlow 2 implementation of Graph Attention Networks (GAT)

Language: Python - Size: 165 KB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

withai/Graph-Neural-Networks

A deep learning library for graph data structures

Language: Python - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

sandipan211/LoCATe-GAT

Official PyTorch implementation of the IEEE TETCI 2024 paper LoCATe-GAT

Language: Python - Size: 8.68 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

fakerbaby/Flora

Flora is an new GNN-based Open Source tool can apply to Dreamplace post-processing, so that can achieve faster and more accurate layout design.

Language: Python - Size: 9.89 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

asarigun/mma

Official Implementation of Multi-Masked Aggregators for Graph Neural Networks in Pytorch and PyTorch Geometric

Language: Python - Size: 5.06 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

AYUSH-ISHAN/Type-Based_Heirarchial_MARL_SC2

StarCraft 2 via Type Based Heirarchial Multi Agent Reinforcement Leanring

Language: Python - Size: 12.5 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

abhilash1910/GraphAttentionNetworks

This package is a Tensorflow2/Keras implementation for Graph Attention Network embeddings and also provides a Trainable layer for Multihead Graph Attention.

Language: Python - Size: 142 KB - Last synced at: 11 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

JiaWu-Repository/HGATRD Fork of 201518018629031/HGATRD

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)

Size: 6.05 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 16

cjunwon/Reddit-Social-Network-Analysis

Developing efficient classification for Reddit posts/comments/communities with Graph Neural Networks (GNNs)

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

jordan7186/GAtt

Source code for the GAtt method in "Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks".

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1

YeasirRayhanPrince/aist

[TSAS 2023] AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction.

Language: Python - Size: 1.07 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

hoangntc/BERT_ABSA

Aspect-based sentiment analysis with BERT and GAT in Pytorch

Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

alexmirrington/honours-thesis

LaTeX files for my honours thesis: "Graph Attention Networks for Compositional Visual Question Answering"

Language: TeX - Size: 14.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

alizindari/High-resolution-image-embedding

Using Graph Attention NN for image embedding and classification

Language: Python - Size: 1.14 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

siihwanpark/GAT Fork of seohuibae/gat

PyTorch implementation of the paper "Graph Attention Networks". (ICLR 2018)

Language: Python - Size: 4.83 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

johmedr/GraphN

A convenient wrapper to develop graph neural networks with Keras. Currently under development with the objective of integrating Networkx, Owlready2 and oneM2M for cognitive IoT.

Language: Python - Size: 287 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

messierandromeda/Bachelor-Thesis

This repository contains the graph neural networks built with PyTorch Geometric that are used in my bachelor thesis.

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

CallmeQuant/shortest-path-gnn

This repository contains an implementation of several Graph Neural Network (GNN)-based models for solving shortest path prediction problems.

Language: Jupyter Notebook - Size: 4.33 MB - Last synced at: 28 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

jElhamm/Hands-On-Graph-Neural-Networks-Using-Python

"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."

Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: 18 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

MohammadYasinKarbasian/Community-Detection-On-OGBN-Arxiv

This repository contains the code and results of my Machine Learning on Graphs course project, where I applied various community detection methods to the OGBN-ArXiv dataset.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

stefanhoedl/JAT_potential

Master thesis: JAT (Jraph Attention Networks), a deep learning architecture to predict the potential energy and forces of molecules. Adapts Graph Attention Networks (GATv2) within the Message Passing Neural Networks framework to computational chemistry in JAX

Language: Python - Size: 18.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

fork123aniket/Relational-Graph-Attention-from-Scratch

Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch

Language: Python - Size: 16.6 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

keyvan-amiri/GAE-GAT

This is the complementary repository for "Payment fraud identification by means of business process anomaly detection", the master thesis of Keyvan Amiri Elyasi submitted at the Junior Professorship of Management Analytics, University of Mannheim (July 2022)

Language: Jupyter Notebook - Size: 73.7 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sn0218/pyGAT

Pytorch implementation of the Graph Attention Network with visualizations

Language: Python - Size: 1.08 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

alexmirrington/gat-vqa

Source code for my honours thesis: "Graph Attention Networks for Compositional Visual Question Answering"

Language: Python - Size: 474 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

paologentleman/Graph-Attention-Networks

A novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers (Vaswani et al., 2017).

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

rmhsiao/CAGNIR

Implementation of CAGNIR, a new Neural Information Retrieval model aggregates relevant semantics through applying Graph Attention Networks on the Click Graph.

Language: Python - Size: 104 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

DwaraknathT/NABU

Code for the paper "NABU - Multilingual Graph-based Neural RDF Verbalizer"

Language: Python - Size: 16.1 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

kmader/GraphNN_Intro

Some introductory material for GraphNN wrapped together

Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

b0kja85/truesaight

TRUES[AI]GHT - A Deepfake Detector Tool that Utilizes a Hybridized Machine Learning Model for Temporal and Spatial Analysis

Language: Python - Size: 55.7 KB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Sh-31/Relational-Group-Activity-Recognition

A modern implementation of ECCV 2018 paper: "Hierarchical Relational Networks for Group Activity Recognition and Retrieval".

Language: Python - Size: 27.6 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

d-f/binding-affinity

Protein-Ligand binding affinity prediction with Protein LLMs and Graph Attention Networks.

Language: Python - Size: 24.4 KB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SagharShafaati/Spatial-Temporal-Traffic-Prediction

This repository contains the Python implementation for the article "Spatial-Temporal Traffic Prediction: A Federated Approach with GAT and XGBoost". The code demonstrates a novel framework integrating Graph Attention Networks, XGBoost, and SHAP for accurate and privacy-preserving traffic density prediction.

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

zahiriddin-rustamov/gat-rwos

A graph attention-guided oversampling method for imbalanced data classification using GAT and random walks.

Language: Python - Size: 622 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dinhngoc267/graph-neural-network

Some implementations of graph neural network architectures using Pytorch

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

lukau2357/gat-pytorch

Reproduction of the GAT paper in PyTorch

Language: Python - Size: 1.49 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

zahiriddin-rustamov/gais

Graph Attention-based Instance Selection (GAIS). Python package for a novel instance selection method utilizing graph attention networks.

Size: 1000 Bytes - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

locuoco/graph-attention-networks

Graph Attention Networks (GATs) for node classification

Language: Python - Size: 47.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dacarlin/gato

Protein design using graph attention networks (GATs)

Language: Python - Size: 85.9 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

marcocolangelo/MSSGAT Fork of leaves520/MSSGAT

Molecular substructure graph attention network for molecular property identification in drug discovery. This is the starting point for my thesis project and is the fork of a repository from the paper https://doi.org/10.1016/j.patcog.2022.108659

Language: Python - Size: 101 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0