Graph-Condensation-Papers

Awesome Graph Condensation Papers
https://github.com/XYGaoG/Graph-Condensation-Papers

Last synced: 2 days ago
JSON representation

Methodology
- Efficient Graph Condensation
- 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
  - Random Walk Guided Hyperbolic Graph Distillation
- Generalized Graph Condensation
- Fair Graph Condensation
  - Fair Graph Distillation
  - GCARe: Mitigating Subgroup Unfairness in Graph Condensation through Adversarial Regularization
- Robust Graph Condensation
  - RobGC: Towards Robust Graph Condensation
Applications
- Security
  - Backdoor Graph Condensation
  - GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection
- Inference Acceleration
  - Graph Condensation for Inductive Node Representation Learning
- Heterogeneous Graph
  - Heterogeneous Graph Condensation
  - Training-free Heterogeneous Graph Condensation via Data Selection - DAIR/FreeHGC) |
- Graph Continual Learning
  - PUMA: Efficient Continual Graph Learning with Graph Condensation
  - CaT: Balanced Continual Graph Learning with Graph Condensation - CGL) |
- Federated Learning
  - Federated Graph Condensation with Information Bottleneck Principles
  - FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
- Hyper-Parameter/Neural Architecture Search
  - Faster Hyperparameter Search for GNNs via Calibrated Dataset Condensation
- Hypergraph Graph
  - Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration
Survey
Open-Source Libraries
- Security
Related Repositories
- Security
  - Awesome-Graph-Condensation
  - Awesome-Dataset-Distillation

Programming Languages

Python 3 HTML 1

Categories

Methodology 29 Applications 11 Open-Source Libraries 3 Survey 3 Related Repositories 2

Sub Categories

Effective Graph Condensation 11 Efficient Graph Condensation 11 Security 7 Generalized Graph Condensation 4 Heterogeneous Graph 2 Federated Learning 2 Graph Continual Learning 2 Fair Graph Condensation 2 Hyper-Parameter/Neural Architecture Search 1 Robust Graph Condensation 1 Hypergraph Graph 1 Inference Acceleration 1

Keywords

deep-learning 1 awesome-list 1