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28 search results found

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

Pytorch Gat ⭐ 1,815

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!

Pygat ⭐ 1,684

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

Capsgnn ⭐ 1,180

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

Knowledge_graph_attention_network ⭐ 434

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Mixhop And N Gcn ⭐ 389

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

Heterogeneous Graph Neural Network

Keras Gat ⭐ 301

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

Mtad Gat Pytorch ⭐ 265

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).

Deepinf ⭐ 171

DeepInf: Social Influence Prediction with Deep Learning

Kernelgat ⭐ 147

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

How_attentive_are_gats ⭐ 100

Code for the paper "How Attentive are Graph Attention Networks?"

ECML 2019: Graph Neural Networks for Multi-Label Classification

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

Pytorch_han ⭐ 55

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

A Unified Framework For Deep Attribute Graph Clustering ⭐ 53

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

Cova Web Object Detection ⭐ 37

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

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

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

Traffic Speed Prediction ⭐ 23

Using to predict the highway traffic speed

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).

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

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

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

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

Fake News Detection ⭐ 12

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

Travel Time Prediction ⭐ 10

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

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

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

Curegraph ⭐ 6

Smart Interface to identify HIV inhibitors

Graph Attention Networks ⭐ 5

PyTorch implementation of Graph Attention Networks

Graph Neural Networks ⭐ 5

A deep learning library for graph data structures

Graph Matching Attention ⭐ 5

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

Pytorch_gat ⭐ 5

Pytorch implementation of graph attention network

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