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GRAPH DOMAIN ADAPTATION
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Homophily Enhanced Graph Domain Adaptation
GCAL: Adapting Graph Models to Evolving Domain Shifts
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
PyGDA: A Python Library for Graph Domain Adaptation
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
On the Benefits of Attribute-Driven Graph Domain Adaptation
Gradual Domain Adaptation for Graph Learning
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction
Domain Adaptive Unfolded Graph Neural Networks
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
Degree-Conscious Spiking Graph for Cross-Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
Can Modifying Data Address Graph Domain Adaptation?
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
Pairwise Alignment Improves Graph Domain Adaptation
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Graph Domain Adaptation: Challenges, Progress and Prospects
Semi-supervised Domain Adaptation in Graph Transfer Learning
Domain-adaptive Message Passing Graph Neural Network
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Structural Re-weighting Improves Graph Domain Adaptation
Non-IID Transfer Learning on Graphs
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training
Source Free Unsupervised Graph Domain Adaptation
Graph Domain Adaptation: A Generative View
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
Adversarial Deep Network Embedding for Cross-network Node Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.