Skyorca / Awesome-Graph-Domain-Adaptation-PapersView external linksLinks
Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects
☆53Apr 23, 2025Updated 9 months ago
Alternatives and similar repositories for Awesome-Graph-Domain-Adaptation-Papers
Users that are interested in Awesome-Graph-Domain-Adaptation-Papers are comparing it to the libraries listed below
Sorting:
- ☆83Oct 28, 2024Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Jun 15, 2024Updated last year
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Apr 5, 2022Updated 3 years ago
- Rethinking Propagation for Unsupervised Graph Domain Adaptation (AAAI-24)☆17Jul 18, 2024Updated last year
- (CIKM'23 resource track) Graph Domain Adaptation Benchmark for Cross-network Learning☆28Aug 21, 2023Updated 2 years ago
- Predict binding affinity of ligand-protein complexes using Graph Neural Networks. The model is implemented using PyTorch Geometric and ba…☆11Nov 26, 2022Updated 3 years ago
- ☆13May 16, 2018Updated 7 years ago
- A curated list of papers on graph transfer learning (GTL).☆18Oct 23, 2023Updated 2 years ago
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆11Apr 17, 2025Updated 9 months ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 2 years ago
- [TPAMI24] GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation☆36Jan 12, 2025Updated last year
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- Must-read papers on graph foundation models (GFMs)☆361Aug 24, 2025Updated 5 months ago
- ☆18Jan 29, 2023Updated 3 years ago
- Accompanied repositories for our paper Graph foundation model☆232Nov 11, 2024Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Nov 16, 2024Updated last year
- List of papers on ICML2023.☆55Aug 28, 2023Updated 2 years ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆104Feb 29, 2024Updated last year
- List of papers on ICLR 2024☆58Mar 6, 2024Updated last year
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58May 13, 2021Updated 4 years ago
- The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)☆31Dec 26, 2023Updated 2 years ago
- NeurIPS 2024 "NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise"☆31Jun 4, 2025Updated 8 months ago
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- A curated list of papers and resources about multimodal learning on graphs.☆42Feb 28, 2025Updated 11 months ago
- ☆33Feb 8, 2026Updated last week
- 武汉大学2020年“零杯”网页设计大赛零组 return 0;队 一等奖参赛作品☆10Dec 15, 2020Updated 5 years ago
- Tree-Invent: A novel molecular generative model constrained with topological tree☆13Jul 26, 2023Updated 2 years ago
- An Awesome list of study material for learning TOR Forensics or Darkweb Forensics 🕵️♂️🕵️♂️🕵️♂️☆12Oct 31, 2024Updated last year
- This repository contains the code for the work on protein-ligand interaction with GNNs and XAI☆36Jan 3, 2024Updated 2 years ago
- ☆11Sep 21, 2024Updated last year
- AlphaGo代码☆11Apr 25, 2016Updated 9 years ago
- ☆11Dec 17, 2023Updated 2 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 2 years ago
- Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type☆15Feb 16, 2018Updated 8 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆176Feb 2, 2026Updated last week
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42May 8, 2022Updated 3 years ago
- Graph Self-Supervised Learning Toolkit☆44Jun 23, 2025Updated 7 months ago
- A collection of graph foundation models including papers, codes, and datasets.☆163Jul 10, 2025Updated 7 months ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆95May 29, 2025Updated 8 months ago