✨Awesome-Graph-Domain-Adaptation✨

This repository contains the paper list of **Graph Domain Adaptation (GDA) **. The existing literature can be mainly categorized into three categories from conceptually different perspectives, i.e., source, adaptation, and target, based on their positions in the adaptation pipeline. Besides, we also provide some dimensions to capture important information for each work, including task granularity, homogenous/heterogenous, and code-link(link on the model name if accessible). For more details, please refer to our survey paper：

@article{shi2024graph,
  title={Graph Domain Adaptation: Challenges, Progress and Prospects},
  author={Shi, Boshen and Wang, Yongqing and Guo, Fangda and Xu, Bingbing and Shen, Huawei and Cheng, Xueqi},
  journal={arXiv preprint arXiv:2402.00904},
  year={2024}
}

😊We will try our best to make this paper list updated. If you notice some related papers missing, do not hesitate to contact us.

Main Paper List of Current GDA studies

Title	Category	Model	Task	Year	Pub
Network Together: Node Classification via Cross-Network Deep Network Embedding	Source	CDNE	node-level	2019	TNNLS
NES-TL: Network Embedding Similarity based Transfer Learning	Adaptation Extension	NES-TL	node-level	2019	IEEE TNSE
Domain Adaptation on Graphs by Learning Aligned Graph Bases	Adaptation	DASGA	node-level (image classification)	2022	IEEE TKDE
DANE: Domain Adaptive Network Embedding / Domain Adaptive Network Embedding	Adaptation	DANE	node-level	2019 2022	IJCAI IEEE TBD
Adversarial Deep Network Embedding for Cross-network Node Classification	Source	ACDNE	node-level	2020	AAAI
Domain Adaptive Classification on Heterogeneous Information Networks	Adaptation Heterogenous	MusDAC	node-level	2020	IJCAI
Unsupervised Domain Adaptive Graph Convolutional Networks	Source	UDAGCN	node-level	2020	WWW
Graph Domain Adaptation: A Generative View	Adaptation	DGDA	graph-level	2021 2024	Arxiv TKDE
Adversarial Separation Network for Cross-Network Node Classification	Adaptation	ASN	node-level	2021	CIKM
Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation	Adaptation Heterogenous	HGA	node-level	2021	ECML-PKDD
Graph Transfer Learning	Adaptation	GTL	node-level	2021 2022	ICDM KAIS
Source Free Unsupervised Graph Domain Adaptation	Target Extension	SOGA	node-level	2021 2024	Arxiv WSDM
Few-shot Network Anomaly Detection via Cross-network Meta-learning	Adaptation Application	GDN	node-level	2021	WWW
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network	Source	GCLN	node-level	2022	IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution	Source	AdaGCN	node-level	2022	TKDE
Cross-Domain Graph Anomaly Detection	Source Application	COMMANDER	node-level	2022	TNNLS
Learning Adaptive Node Embeddings across Graphs	Adaptation	GraphAE	node-level	2022	TKDE
Domain Adaptation in Physical Systems via Graph Kernel	Adaptation Application	GNA	node-level	2022	KDD
Domain Adaptive Graph Infomax Via Conditional Adversarial Networks	Adaptation	AdaGIn	node-level	2022	IEEE TNSE
Robust cross-network node classification via constrained graph mutual information	Source	RGDAL	node-level	2022	Knowledge Based Systems
Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer	Adaptation Heterogenous	CrossHG-Meta	node-level	2022	KDD
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting	Adaptation Application	CrossTReS	node-level regression	2022	KDD
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks	Adaptation Heterogenous	GDA-HIN	node-level	2022	CIKM (short)
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification	Adaptation	DEAL	graph-level	2022	MM
Cross-Domain Few-Shot Graph Classification	Adaptation		graph-level	2022	AAAI
Node Classification across Networks via Category-Level Domain Adaptive Network Embedding	Adaptation		node-level	2023	KAIS
Improving Graph Domain Adaptation with Network Hierarchy	Adaptation	JHGDA	node-level	2023	CIKM
OpenGDA: Graph Domain Adaptation Benchmark	Benchmark	OpenGDA	node-level edge-level graph-level	2023	CIKM
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer	Adaptation	KBL	node-level	2023	CIKM
Structural Re-weighting Improves Graph Domain Adaptation	Adaptation	StruRW	node-level	2023	Arxiv
Semi-supervised Domain Adaptation in Graph Transfer Learning	Adaptation	SGDA	node-level	2023	IJCAI
Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification	Source	DGASN	edge-level	2023	TNNLS
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	Target Heterogenous	TDAN	edge-level	2023	ACM TKDD
Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment	Target	CDA	graph-level	2023	Arxiv
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy	Adaptation	SemiGCL	node-level	2023	Arxiv
Graph Domain Adaptation via Theory-Grounded Spectral Regularization	Adaptation	SpecReg	node-level	2023	ICLR
Non-IID Transfer Learning on Graphs	Adaptation	GRADE	node-level edge-level	2023	AAAI
Explaining and Adapting Graph Conditional Shift	Adaptation	GCONDA	node-level/ graph-level	2023	Arxiv
Multi-component Similarity Graphs for Cross-network Node Classification	Adaptation	MS-CNC	node-level	2023	IEEE Trans on AI
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment	Target Application	ACT	node-level	2023	AAAI
Universal Domain Adaptive Network Embedding for Node Classification	Extension	UDANE	node-level	2023	MM
SA-GDA: Spectral Augmentation for Graph Domain Adaptation	Adaptation	SA-GDA	node-level	2023	MM
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels	Source	ALEX	node-level	2023	MM
Domain-adaptive Message Passing Graph Neural Network	Target	DM-GNN	node-level	2023	NN
MSDS: A Novel Framework for Multi-Source Data Selection Based Cross-Network Node Classification	Extension	MSDS	node-level	2023	TKDE
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets	Application	DA-GNN	graph-level regression	2023	NeurIPS (Machine Learning and the Physical Sciences Workshop)
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification	Source	CoCo	graph-level	2023	ICML
Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce	Target Application Heterogenous	DAGrade	edge-level	2023	ECIR
Correntropy-Induced Wasserstein GCN: Learning Graph Embedding via Domain Adaptation	Source	CW-GCN	node-level	2023	TIP
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction	Adaptation	GITL	edge-level	2023	TMLR
Dynamic Transfer Learning across Graphs	Adaptation	DyTrans	node-level	2023	Arxiv
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator	Adaptation	CDTC	graph-level	2023	AAAI
Tackling Negative Transfer on Graphs	Adaptation	SP	node-level	2024	Arxiv
DREAM: DUAL STRUCTURED EXPLORATION WITH MIXUP FOR OPEN-SET GRAPH DOMAIN ADAPTION	Adaptation	DREAM	graph-level	2024	ICLR
Rethinking Propagation for Unsupervised Graph Domain Adaptation	Adaptation	A2GNN	node-level	2024	AAAI

Other Related Papers

1. Domain Adaptation on Graphs before Deep Learning Era

Title	Year	Pub	Task	Node
Transfer learning across networks for collective classification	2013	ICDM	node-level	Matrix-tri-decomposition with sharing hidden factors across domains, feature-based
TrGraph: Cross Network Transfer Learning via Common Signature Graphs	2015	TKDE	node-level	graph-motif based common feature space