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Search results for deep learning graph mining
deep-learning
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graph-mining
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17 search results found
Awesome Self Supervised Gnn
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1,356
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Pygod
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1,138
A Python Library for Graph Outlier Detection (Anomaly Detection)
Deeprobust
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904
A pytorch adversarial library for attack and defense methods on images and graphs
Awesome Graph Transformer
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507
Papers about graph transformers.
Awesome Graph Explainability Papers
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486
Papers about explainability of GNNs
Awesome Deep Graph Anomaly Detection
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215
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
Pro Gnn
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213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Nettack
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187
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
Netgan
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142
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
Gnn Meta Attack
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106
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Walklets
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96
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Awesome Graph Ood
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91
Papers about out-of-distribution generalization on graphs.
Practicalmachinelearning
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79
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
Rolx
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56
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Selftask Gnn
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35
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
Simp Gcn
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12
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Pytorch Gnn Meta Attack
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8
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
Pa Gnn
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7
Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".
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1-17 of 17 search results
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