gat
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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!
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Nov 17, 2022 - Jupyter Notebook
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
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Jan 11, 2023 - Python
B站GNN教程资料
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Sep 5, 2024 - Jupyter Notebook
Multi-turn dialogue baselines written in PyTorch
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Mar 10, 2020 - Python
Code and Content for Manning Publication on Graph Neural Networks
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Feb 25, 2025 - Jupyter Notebook
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
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Jul 25, 2024 - Python
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
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Feb 10, 2026 - Python
Gradient gating (ICLR 2023)
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May 11, 2023 - Python
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
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Jul 28, 2023 - Python
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
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May 1, 2020 - Jupyter Notebook
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
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Apr 5, 2022 - Jupyter Notebook
[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
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Oct 29, 2022 - Python
PyTorch implementation of GNN models
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Jul 11, 2025 - Jupyter Notebook
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