Graph-Condensation-Papers
Awesome Graph Condensation Papers
https://github.com/XYGaoG/Graph-Condensation-Papers
Last synced: 16 days ago
JSON representation
-
Methodology
-
Efficient Graph Condensation
- Kernel Ridge Regression-Based Graph Dataset Distillation
- Disentangled Condensation for Large-scale Graphs
- EXGC: Bridging Efficiency and Explainability in Graph Condensation
- Fast Graph Condensation with Structure-based Neural Tangent Kernel
- Mirage: Model-Agnostic Graph Distillation for Graph Classification - iitd/Mirage) |
- Condensing Graphs via One-Step Gradient Matching - research/DosCond) |
- Graph Condensation via Receptive Field Distribution Matching
- Simple Graph Condensation
- Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
- Bonsai: Gradient-free Graph Condensation for Node Classification - iitd/Bonsai)|
- Efficient Graph Condensation via Gaussian Process
- Scalable Graph Condensation with Evolving Capabilities
-
Effective Graph Condensation
- GSTAM: Efficient Graph Distillation with Structural Attention-Matching - Meymandi et al. | [[code]](https://github.com/arashrasti96/GSTAM) |
- TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
- Graph Condensation for Graph Neural Networks
- Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data - zheng/sfgc) |
- Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training
- Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching - hpc-ai-lab/ctrl) |
- Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching - hpc-ai-lab/geom) |
- Graph Data Condensation via Self-expressive Graph Structure Reconstruction
- Multiple Sparse Graphs Condensation
- Self-Supervised Learning for Graph Dataset Condensation
- Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
- Random Walk Guided Hyperbolic Graph Distillation
-
Generalized Graph Condensation
- Does Graph Distillation See Like Vision Dataset Counterpart?
- Graph Distillation with Eigenbasis Matching - GAMMA/GDEM)|
- Graph Condensation for Open-World Graph Learning
- ST-GCond: Self-supervised and Transferable Graph Dataset Condensation - GCond)|
- Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
-
Fair Graph Condensation
-
Robust Graph Condensation
-
-
Applications
-
Security
-
Inference Acceleration
-
Heterogeneous Graph
-
Graph Continual Learning
-
Federated Learning
- Federated Graph Condensation with Information Bottleneck Principles
- FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
- FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
- FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning
- Rethinking Federated Graph Learning: A Data Condensation Perspective
-
Hyper-Parameter/Neural Architecture Search
-
Signed Graph
-
Hypergraph Graph
-
-
Survey
-
Open-Source Libraries
-
Security
-
-
Related Repositories
Sub Categories
Effective Graph Condensation
12
Efficient Graph Condensation
12
Security
8
Generalized Graph Condensation
5
Federated Learning
5
Heterogeneous Graph
2
Graph Continual Learning
2
Fair Graph Condensation
2
Signed Graph
1
Hyper-Parameter/Neural Architecture Search
1
Robust Graph Condensation
1
Hypergraph Graph
1
Inference Acceleration
1
Keywords