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Node-wise Localization of Graph Neural Networks

Node-wise Localization of Graph Neural Networks

27 October 2021
Zemin Liu
Yuan Fang
Chenghao Liu
Guosheng Lin
ArXivPDFHTML

Papers citing "Node-wise Localization of Graph Neural Networks"

15 / 15 papers shown
Title
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Zhen Zhang
Bingsheng He
106
2
0
05 Feb 2025
Graph Edge Representation via Tensor Product Graph Convolutional
  Representation
Graph Edge Representation via Tensor Product Graph Convolutional Representation
Bo Jiang
Sheng Ge
Ziyan Zhang
Beibei Wang
Jin Tang
Bin Luo
GNN
43
0
0
21 Jun 2024
Generalized Graph Prompt: Toward a Unification of Pre-Training and
  Downstream Tasks on Graphs
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
Xingtong Yu
Zhenghao Liu
Yuan Fang
Zemin Liu
Sihong Chen
Xinming Zhang
37
24
0
26 Nov 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
14
13
0
26 Aug 2023
HINormer: Representation Learning On Heterogeneous Information Networks
  with Graph Transformer
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
Qiheng Mao
Zemin Liu
Chenghao Liu
Jianling Sun
42
56
0
22 Feb 2023
Link Prediction on Latent Heterogeneous Graphs
Link Prediction on Latent Heterogeneous Graphs
Trung-Kien Nguyen
Zemin Liu
Yuan Fang
29
8
0
21 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural
  Networks
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Zemin Liu
Xingtong Yu
Yuan Fang
Xinming Zhang
LLMAG
AI4CE
27
136
0
16 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks
On Generalized Degree Fairness in Graph Neural Networks
Zemin Liu
Trung-Kien Nguyen
Yuan Fang
27
25
0
08 Feb 2023
Learning to Count Isomorphisms with Graph Neural Networks
Learning to Count Isomorphisms with Graph Neural Networks
Xingtong Yu
Zemin Liu
Yuan Fang
Xinming Zhang
GNN
35
15
0
07 Feb 2023
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
44
18
0
21 Jul 2021
Meta-Inductive Node Classification across Graphs
Meta-Inductive Node Classification across Graphs
Zhihao Wen
Yuan Fang
Zemin Liu
41
34
0
14 May 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,080
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
383
11,700
0
09 Mar 2017
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