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GRAPH DOMAIN ADAPTATION

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/cszhangzhen/graphcta

공식 코드

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation

https://github.com/cwei01/tdss

공식 코드

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation

https://github.com/daiquanyu/AdaGCN

공식 코드

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution

https://github.com/goose315/delta

공식 코드

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation

https://github.com/graph-com/pair-align

공식 코드

Pairwise Alignment Improves Graph Domain Adaptation

https://github.com/graph-com/strurw

공식 코드

Structural Re-weighting Improves Graph Domain Adaptation

https://github.com/haitaomao/soga

공식 코드

Source Free Unsupervised Graph Domain Adaptation

https://github.com/joe817/gcal

공식 코드

GCAL: Adapting Graph Models to Evolving Domain Shifts

https://github.com/jwu4sml/grade

공식 코드

Non-IID Transfer Learning on Graphs

https://github.com/luo-junyu/gala

공식 코드

GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation

https://github.com/meihan-liu/24aaai-a2gnn

공식 코드

Rethinking Propagation for Unsupervised Graph Domain Adaptation

https://github.com/pygda-team/pygda

공식 코드

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation

https://github.com/shenxiaocam/ACDNE

공식 코드

Adversarial Deep Network Embedding for Cross-network Node Classification

https://github.com/shenxiaocam/dm_gnn

공식 코드

Domain-adaptive Message Passing Graph Neural Network

https://github.com/skyorca/awesome-graph-domain-adaptation-papers

공식 코드

Graph Domain Adaptation: Challenges, Progress and Prospects

https://github.com/skyorca/bottrans

공식 코드

BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection

https://github.com/skyorca/opengda

공식 코드

OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning

https://github.com/zjunet/GraphAlign

공식 코드

Can Modifying Data Address Graph Domain Adaptation?

https://github.com/3480430977/ACDNE

Adversarial Deep Network Embedding for Cross-network Node Classification

https://github.com/Jerry2398/DANE-Simple-implementation

DANE: Domain Adaptive Network Embedding

https://github.com/lukashedegaard/dage

DANE: Domain Adaptive Network Embedding

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.