Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-graph-representation-learning
A curated list of awesome graph representation learning.
https://github.com/KaiyuanZh/awesome-graph-representation-learning
Last synced: 5 days ago
JSON representation
-
Papers
-
Graph representation learning
- Deep Convolutional Networks on Graph-Structured Data
- Representation Learning on Graphs: Methods and Applications
- Deep Learning on Graphs: A Survey
- Graph Neural Networks: A Review of Methods and Applications
- A Comprehensive Survey on Graph Neural Networks
- Deep Convolutional Networks on Graph-Structured Data
- Representation Learning on Graphs: Methods and Applications
- Graph Neural Networks: A Review of Methods and Applications
- A Structural Graph Representation Learning Framework
- Initialization for Network Embedding: A Graph Partition Approach
- Dynamic graph representation learning via self-attention networks
- Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
- Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning
- Graph Neural Networks: A Review of Methods and Applications
-
Adversarial learning on graphs
- Explaining and Harnessing Adversarial Examples
- Motivating the Rules of the Game for Adversarial Example Research
- Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
- Adversarial Attack on Graph Structured Data
- Adversarial Attacks on Node Embeddings
- Attack Graph Convolutional Networks by Adding Fake Nodes
- Link prediction adversarial attack
- Fast gradient attack on network embedding
- Motivating the Rules of the Game for Adversarial Example Research
- Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
- Adversarial Attack on Graph Structured Data
- Adversarial Attacks on Neural Networks for Graph Data
- Data Poisoning Attack against Unsupervised Node Embedding Methods
- Attack Graph Convolutional Networks by Adding Fake Nodes
- Link prediction adversarial attack
- Fast gradient attack on network embedding
- Characterizing Malicious Edges targeting on Graph Neural Networks
- Adversarial Attacks on Graph Neural Networks via Meta Learning
- Data Poisoning Attack against Unsupervised Node Embedding Methods
- Intriguing properties of neural networks
- Adversarial Attacks on Neural Networks for Graph Data
-
-
Tutorials and Workshops
-
Graph representation learning
-
Adversarial learing
-
-
Licenses
-
Adversarial learing
-