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Accurate Learning of Graph Representations with Graph Multiset Pooling

Accurate Learning of Graph Representations with Graph Multiset Pooling

23 February 2021
Jinheon Baek
Minki Kang
Sung Ju Hwang
ArXivPDFHTML

Papers citing "Accurate Learning of Graph Representations with Graph Multiset Pooling"

18 / 18 papers shown
Title
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
Emir Ceyani
Han Xie
Baturalp Buyukates
Carl Yang
Salman Avestimehr
FedML
95
0
0
22 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
Abdullah Alchihabi
Yuhong Guo
DiffM
25
0
0
03 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Y. Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
91
0
0
03 Jan 2025
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
36
0
0
26 Jul 2024
Clustering for Protein Representation Learning
Clustering for Protein Representation Learning
Ruijie Quan
Wenguan Wang
Fan Ma
Hehe Fan
Yi Yang
24
5
0
30 Mar 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs
  through Efficient Communication Channel
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
27
3
0
02 Nov 2023
Hyperbolic Convolution via Kernel Point Aggregation
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu
Dongmian Zou
40
3
0
15 Jun 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Kha-Dinh Luong
Mert Kosan
A. Silva
Ambuj K. Singh
30
6
0
25 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
Bo Jiang
Fei Xu
Ziyan Zhang
Jin Tang
Feiping Nie
27
3
0
12 May 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for
  Biochemical Problems
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems
Fang Wu
Huiling Qin
Siyuan Li
Stan Z. Li
Xianyuan Zhan
Jinbo Xu
11
5
0
08 Apr 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident
  Impact Prediction on Traffic Networks
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
Yanshen Sun
Kaiqun Fu
Chang-Tien Lu
AI4TS
AI4CE
25
2
0
21 Mar 2023
Structural Entropy Guided Graph Hierarchical Pooling
Structural Entropy Guided Graph Hierarchical Pooling
Junran Wu
Xueyuan Chen
Ke Xu
Shangzhe Li
9
72
0
26 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound
DiffWire: Inductive Graph Rewiring via the Lovász Bound
Adrián Arnaiz-Rodríguez
Ahmed Begga
Francisco Escolano
Nuria Oliver
19
60
0
15 Jun 2022
Unified GCNs: Towards Connecting GCNs with CNNs
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang
Bo Jiang
Bin Luo
GNN
23
1
0
26 Apr 2022
Score-based Generative Modeling of Graphs via the System of Stochastic
  Differential Equations
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo
Seul Lee
Sung Ju Hwang
DiffM
14
207
0
05 Feb 2022
Do Transformers Really Perform Bad for Graph Representation?
Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying
Tianle Cai
Shengjie Luo
Shuxin Zheng
Guolin Ke
Di He
Yanming Shen
Tie-Yan Liu
GNN
21
431
0
09 Jun 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
186
913
0
02 Mar 2020
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
229
1,935
0
09 Jun 2018
1