PyGDA: A Python Library for Graph Domain Adaptation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Zhen, Liu, Meihan, He, Bingsheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024)
by: Liu, Meihan, et al.
Published: (2024)
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
by: Zhang, Zhen, et al.
Published: (2024)
by: Zhang, Zhen, et al.
Published: (2024)
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
by: Pang, Jinhui, et al.
Published: (2024)
by: Pang, Jinhui, et al.
Published: (2024)
Rethinking Propagation for Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024)
by: Liu, Meihan, et al.
Published: (2024)
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)
by: Wang, Qian, et al.
Published: (2024)
PyMilo: A Python Library for ML I/O
by: Rostami, AmirHosein, et al.
Published: (2024)
by: Rostami, AmirHosein, et al.
Published: (2024)
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
by: Chen, Sihan, et al.
Published: (2024)
by: Chen, Sihan, et al.
Published: (2024)
PyG-SSL: A Graph Self-Supervised Learning Toolkit
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
by: Li, Yuan, et al.
Published: (2025)
by: Li, Yuan, et al.
Published: (2025)
On the Benefits of Attribute-Driven Graph Domain Adaptation
by: Fang, Ruiyi, et al.
Published: (2025)
by: Fang, Ruiyi, et al.
Published: (2025)
Graph Domain Adaptation: Challenges, Progress and Prospects
by: Shi, Boshen, et al.
Published: (2024)
by: Shi, Boshen, et al.
Published: (2024)
Degree-Conscious Spiking Graph for Cross-Domain Adaptation
by: Wang, Yingxu, et al.
Published: (2024)
by: Wang, Yingxu, et al.
Published: (2024)
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
by: Wang, Yingxu, et al.
Published: (2025)
by: Wang, Yingxu, et al.
Published: (2025)
Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
by: Wang, Yilong, et al.
Published: (2025)
by: Wang, Yilong, et al.
Published: (2025)
EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes
by: Wu, Zhaomin, et al.
Published: (2026)
by: Wu, Zhaomin, et al.
Published: (2026)
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
by: Wu, Zhaomin, et al.
Published: (2023)
by: Wu, Zhaomin, et al.
Published: (2023)
PyG 2.0: Scalable Learning on Real World Graphs
by: Fey, Matthias, et al.
Published: (2025)
by: Fey, Matthias, et al.
Published: (2025)
Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream Learning
by: Shi, Tongjun, et al.
Published: (2024)
by: Shi, Tongjun, et al.
Published: (2024)
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
by: Ma, Yao, et al.
Published: (2024)
by: Ma, Yao, et al.
Published: (2024)
Learning Relational Tabular Data without Shared Features
by: Wu, Zhaomin, et al.
Published: (2025)
by: Wu, Zhaomin, et al.
Published: (2025)
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
by: Wu, Zhaomin, et al.
Published: (2025)
by: Wu, Zhaomin, et al.
Published: (2025)
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
by: Ghaffari, Amirhossein, et al.
Published: (2025)
by: Ghaffari, Amirhossein, et al.
Published: (2025)
Autonomous Source Knowledge Selection in Multi-Domain Adaptation
by: Li, Keqiuyin, et al.
Published: (2025)
by: Li, Keqiuyin, et al.
Published: (2025)
Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts
by: Wu, Zhaomin, et al.
Published: (2025)
by: Wu, Zhaomin, et al.
Published: (2025)
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
by: Zhang, Jingyuan, et al.
Published: (2024)
by: Zhang, Jingyuan, et al.
Published: (2024)
GAIN: Multiplicative Modulation for Domain Adaptation
by: Yao, Hengshuai, et al.
Published: (2026)
by: Yao, Hengshuai, et al.
Published: (2026)
OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptation
by: Zhang, Yiming, et al.
Published: (2025)
by: Zhang, Yiming, et al.
Published: (2025)
PhasorFlow: A Python Library for Unit Circle Based Computing
by: Sigdel, Dibakar, et al.
Published: (2026)
by: Sigdel, Dibakar, et al.
Published: (2026)
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
by: Zhang, Xiyang, et al.
Published: (2026)
by: Zhang, Xiyang, et al.
Published: (2026)
Partitioning Message Passing for Graph Fraud Detection
by: Zhuo, Wei, et al.
Published: (2024)
by: Zhuo, Wei, et al.
Published: (2024)
HAT-CL: A Hard-Attention-to-the-Task PyTorch Library for Continual Learning
by: Duan, Xiaotian
Published: (2023)
by: Duan, Xiaotian
Published: (2023)
Similar Items
-
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024) -
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
by: Zhang, Zhen, et al.
Published: (2024) -
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
by: Pang, Jinhui, et al.
Published: (2024) -
Rethinking Propagation for Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024) -
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)