Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation

5 February 2025

Papers citing "Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation"

48 / 48 papers shown

Title
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs Yuan N. Li Jun Hu Jiaxin Jiang Zemin Liu Bryan Hooi Bingsheng He 74 1 0 25 Mar 2025
PyGDA: A Python Library for Graph Domain Adaptation Zhen Zhang Meihan Liu Bingsheng He AI4CE OOD 67 1 0 13 Mar 2025
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 85 5 0 09 Jul 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation Zhen Zhang Meihan Liu Anhui Wang Hongyang Chen Zhao Li Jiajun Bu Bingsheng He TTA 73 12 0 03 Mar 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu Zeyu Fang Zhen Zhang Ming Gu Sheng Zhou Xin Eric Wang Jiajun Bu AI4CE 74 16 0 08 Feb 2024
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin Libin Shen Mengzhu Wang L. Lan Zeyu Ma C. L. Philip Chen Xiansheng Hua Xiao Luo 80 43 0 08 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran Haiying Zhao Qiu Qiang Pan Li OOD AI4CE 49 39 0 05 Jun 2023
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 39 38 0 15 Dec 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 130 64 0 07 Oct 2022
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction Han Li Dan Zhao Jianyang Zeng 43 64 0 02 Jun 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li Renyu Zhu Yao Cheng Caihua Shan Siqiang Luo Dongsheng Li Wei Qian 54 192 0 15 May 2022
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation Maohao Shen Yuheng Bu Greg Wornell 176 15 0 01 Feb 2022
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources Yongchun Zhu Fuzhen Zhuang Deqing Wang OOD 83 302 0 04 Jan 2022
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu Guosheng Lin 52 25 0 27 Oct 2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Xiyue Zhang Chao Huang Yong-mei Xu Lianghao Xia Peng Dai Liefeng Bo Junbo Zhang Yu Zheng GNN DiffM AI4TS 73 194 0 08 Oct 2021
Unsupervised Multi-source Domain Adaptation Without Access to Source Data Sk. Miraj Ahmed Dripta S. Raychaudhuri S. Paul Samet Oymak Amit K. Roy-Chowdhury 47 131 0 05 Apr 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 102 122 0 16 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 181 255 0 14 Dec 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 226 819 0 16 Jul 2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation Jiahua Dong Yang Cong Gan Sun Bineng Zhong Xiaowei Xu 52 139 0 24 Apr 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 95 1,241 0 20 Feb 2020
Adversarial Deep Network Embedding for Cross-network Node Classification X. Shen Quanyu Dai K. F. Chung Wei Lu K. Choi 41 83 0 18 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 316 1,118 0 13 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 178 3,646 0 06 Feb 2020
Multi-source Distilling Domain Adaptation Sicheng Zhao Guangzhi Wang Shanghang Zhang Yang Gu Yaxian Li Zhichao Song Pengfei Xu Runbo Hu Hua Chai Kurt Keutzer TTA 63 214 0 22 Nov 2019
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems Zijian Li Ruichu Cai Kok-Soon Chai H. Ng Hoang Dung Vu Marianne Winslett T. Fu Boyan Xu Xiaoyan Yang Zhenjie Zhang CML AI4TS AI4CE 42 14 0 13 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 252 860 0 28 Sep 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 53 138 0 28 Jun 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 216 4,334 0 06 Mar 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 238 1,891 0 19 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 222 3,172 0 19 Feb 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 65 391 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 722 8,517 0 03 Jan 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 130 1,791 0 04 Dec 2018
Characterizing and Avoiding Negative Transfer Zirui Wang Zihang Dai Barnabás Póczós J. Carbonell 85 415 0 24 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 230 7,638 0 01 Oct 2018
Multi-Source Domain Adaptation with Mixture of Experts Jiang Guo Darsh J. Shah Regina Barzilay 43 178 0 07 Sep 2018
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 152 158 0 23 Jul 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 252 3,535 0 06 Jun 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 139 3,001 0 08 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 445 20,089 0 30 Oct 2017
Partial Transfer Learning with Selective Adversarial Networks Zhangjie Cao Mingsheng Long Jianmin Wang Michael I. Jordan GAN 72 440 0 25 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 468 15,218 0 07 Jun 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning Werner Zellinger Thomas Grubinger E. Lughofer T. Natschläger Susanne Saminger-Platz OOD 105 573 0 28 Feb 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 329 7,648 0 30 Jun 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification André F. T. Martins Ramón Fernández Astudillo 174 722 0 05 Feb 2016
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 217 5,194 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014