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The Top 23 Graph Attention Networks Open Source Projects

Open source projects categorized as Graph Attention Networks
Categories > Graph Attention Networks
Awesome Graph Classification ⭐ 4,703
A collection of important graph embedding, classification and representation learning papers with implementations.
most recent commit a year ago
Gat ⭐ 2,078
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
most recent commit 3 years ago
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!
most recent commit a year ago
Pygat ⭐ 1,684
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
most recent commit 3 years ago
Capsgnn ⭐ 1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
most recent commit a year ago
Gnn4nlp Papers ⭐ 824
A list of recent papers about Graph Neural Network methods applied in NLP areas.
most recent commit a year ago
Graph_nets ⭐ 769
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
most recent commit 2 years ago
Knowledge_graph_attention_network ⭐ 434
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
most recent commit 4 years ago
Mixhop And N Gcn ⭐ 389
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
most recent commit a year ago
Awesome Gcn ⭐ 377
resources for graph convolutional networks （图卷积神经网络相关资源）
most recent commit 5 years ago
Han ⭐ 307
Heterogeneous Graph Neural Network
most recent commit 4 years ago
Keras Gat ⭐ 301
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
most recent commit 3 years ago
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).
most recent commit 3 months ago
Deepinf ⭐ 171
DeepInf: Social Influence Prediction with Deep Learning
most recent commit 6 years ago
Kernelgat ⭐ 147
The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.
most recent commit 2 years ago
How_attentive_are_gats ⭐ 100
Code for the paper "How Attentive are Graph Attention Networks?"
most recent commit 2 years ago
Graph Neural Network Course ⭐ 89
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
most recent commit 8 months ago
Lamp ⭐ 78
ECML 2019: Graph Neural Networks for Multi-Label Classification
most recent commit a year ago
Dagnet ⭐ 72
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
most recent commit 2 years ago
Pytorch_han ⭐ 55
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
most recent commit a year ago
A Unified Framework For Deep Attribute Graph Clustering ⭐ 53
This project is a scalable unified framework for deep graph clustering.
most recent commit 4 months ago
Graphcon ⭐ 45
GraphCON (ICML 2022)
most recent commit 2 years ago
Cova Web Object Detection ⭐ 37
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
most recent commit a year ago
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