A collection of important graph embedding, classification and representation learning papers with implementations.
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Updated
Mar 18, 2023 - Python
A collection of important graph embedding, classification and representation learning papers with implementations.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
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!
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
resources for graph convolutional networks (图卷积神经网络相关资源)
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
DeepInf: Social Influence Prediction with Deep Learning
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).
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
ECML 2019: Graph Neural Networks for Multi-Label Classification
Fake news detector based on the content and users associated with it using BERT and Graph Attention Networks (GAT).
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
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