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GRAPH DOMAIN ADAPTATION

Papers

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Showing 1–40 of 40 papers

TitleStatusHype
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot DetectionCode0
Homophily Enhanced Graph Domain Adaptation—0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics—0
PyGDA: A Python Library for Graph Domain AdaptationCode3
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation—0
On the Benefits of Attribute-Driven Graph Domain Adaptation—0
Gradual Domain Adaptation for Graph Learning—0
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain AdaptationCode0
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction—0
Domain Adaptive Unfolded Graph Neural Networks—0
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain AdaptationCode1
Degree-Conscious Spiking Graph for Cross-Domain Adaptation—0
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain AdaptationCode0
Rank and Align: Towards Effective Source-free Graph Domain Adaptation—0
SA-GDA: Spectral Augmentation for Graph Domain Adaptation—0
Can Modifying Data Address Graph Domain Adaptation?Code0
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain AdaptationCode3
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning—0
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional AdaptationCode0
Pairwise Alignment Improves Graph Domain AdaptationCode1
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning—0
Rethinking Propagation for Unsupervised Graph Domain AdaptationCode1
Graph Domain Adaptation: Challenges, Progress and ProspectsCode2
Semi-supervised Domain Adaptation in Graph Transfer Learning—0
Domain-adaptive Message Passing Graph Neural NetworkCode0
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer—0
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network LearningCode1
Structural Re-weighting Improves Graph Domain AdaptationCode1
Non-IID Transfer Learning on GraphsCode1
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training—0
Source Free Unsupervised Graph Domain AdaptationCode0
Graph Domain Adaptation: A Generative View—0
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks—0
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation—0
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Graph Domain Adaptation with Localized Graph Signal Representations—0
Graph Transfer Learning via Adversarial Domain Adaptation with Graph ConvolutionCode0
DANE: Domain Adaptive Network EmbeddingCode1
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GALAAccuracy56.5—Unverified