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31 search results found
Neural Structured Learning
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972
Training neural models with structured signals.
Deeprobust
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904
A pytorch adversarial library for attack and defense methods on images and graphs
Graph Adversarial Learning Literature
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772
A curated list of adversarial attacks and defenses papers on graph-structured data.
Graphgallery
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440
GraphGallery is a gallery for benchmarking Graph Neural Networks.
Graphgan
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381
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
Awesome Graph Attack Papers
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315
Adversarial attacks and defenses on Graph Neural Networks.
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".
Kbgan
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170
Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Housegan
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169
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
Graph_adversarial_attack
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110
Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
Gnn Meta Attack
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106
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Flag
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94
Official implementation of our FLAG paper (CVPR2022)
Tensorflow_advanced_tutorials
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52
Tensorflow의 고급스러운 사용을 위한 튜토리얼 입니다.
Zero Shot Knowledge Graph Relational Learning
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39
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Gal
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31
[ICML 2021] Information Obfuscation of Graph Neural Networks
Node_embedding_attack
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31
Adversarial Attacks on Node Embeddings via Graph Poisoning
Gfattack
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30
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Gcn_adv_train
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29
Adversarial training for Graph Neural Networks
Pointcloudsuperresolution
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26
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Gnnguard
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22
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
Gnn Practical Attack
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16
Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)
Condgen
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15
Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
Generative Adversarial Nets In Nlp
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15
Implementation about Attention-Based Reward Conditional SeqGAN (AR-CSGAN)
Argf_multimodal_fusion
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14
codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
Domain Adaptation
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11
Domain Adaptation with Adversarial Training and Graph Embeddings
Ggan
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11
Generative adversarial network for normalizing and predicting time-dependent graphs with respect to a fixed template.
Divine
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11
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
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.
Ganomaly Tf
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7
TensorFlow implementation of GANomaly (with MNIST dataset)
Awesome Adversarial Sample On Graph
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7
Simple Gans
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6
GANs for generating digital distribution
Hada
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5
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Civic_issue_dataset
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5
Civic Issue Detection Dataset from Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
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1-31 of 31 search results
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