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Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit
  Diversity Modeling

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

6 April 2023
Haotao Wang
Ziyu Jiang
Yuning You
Yan Han
Gaowen Liu
Jayanth Srinivasa
Ramana Rao Kompella
Zhangyang Wang
ArXivPDFHTML

Papers citing "Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling"

23 / 23 papers shown
Title
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering
Alexander Rusnak
Frédéric Kaplan
3DPC
39
0
0
18 Apr 2025
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
Francesco P. Ramunno
Paolo Massa
Vitaliy Kinakh
Brandon Panos
A. Csillaghy
S. Voloshynovskiy
DiffM
45
0
0
31 Mar 2025
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
Zijie Zhong
Hanwen Liu
Xiaoya Cui
Xiaofan Zhang
Zengchang Qin
68
6
0
28 Jan 2025
Mixture of Link Predictors on Graphs
Mixture of Link Predictors on Graphs
Li Ma
Haoyu Han
Juanhui Li
Harry Shomer
Hui Liu
Xiaofeng Gao
Jiliang Tang
59
0
0
03 Jan 2025
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
J. Liu
Haitao Mao
Zhikai Chen
Wenqi Fan
Mingxuan Ju
Tong Zhao
Neil Shah
Jiliang Tang
AI4CE
56
0
0
30 Nov 2024
M2oE: Multimodal Collaborative Expert Peptide Model
M2oE: Multimodal Collaborative Expert Peptide Model
Zengzhu Guo
Zhiqi Ma
MoE
67
0
0
20 Nov 2024
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
Weikai Li
Ding Wang
Zijian Ding
Atefeh Sohrabizadeh
Zongyue Qin
Jason Cong
Yizhou Sun
30
2
0
25 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
28
0
0
12 Oct 2024
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on
  Graph Data
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
Andy Zhou
Xiaojun Xu
Ramesh Raghunathan
Alok Lal
Xinze Guan
Bin Yu
Bo Li
20
1
0
10 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning
TopER: Topological Embeddings in Graph Representation Learning
Astrit Tola
Funmilola Mary Taiwo
Cüneyt Gürcan Akçora
Baris Coskunuzer
18
0
0
02 Oct 2024
Learning Personalized Scoping for Graph Neural Networks under
  Heterophily
Learning Personalized Scoping for Graph Neural Networks under Heterophily
Gangda Deng
Hongkuan Zhou
R. Kannan
Viktor Prasanna
31
0
0
11 Sep 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
Hongzhan Lin
Ang Lv
Yuhan Chen
Chen Zhu
Yang Song
Hengshu Zhu
Rui Yan
21
9
0
28 Jun 2024
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion
  Prediction
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
Wenzhao Jiang
Jindong Han
Hao Liu
Tao Tao
Naiqiang Tan
Hui Xiong
MoE
23
8
0
14 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
33
5
0
05 Jun 2024
Graph Sparsification via Mixture of Graphs
Graph Sparsification via Mixture of Graphs
Guibin Zhang
Xiangguo Sun
Yanwei Yue
Kun Wang
Tianlong Chen
Shirui Pan
21
8
0
23 May 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of
  Aligned Experts
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu
Kaidi Cao
Bruno Ribeiro
James Y. Zou
J. Leskovec
OOD
4
3
0
07 Dec 2023
PGODE: Towards High-quality System Dynamics Modeling
PGODE: Towards High-quality System Dynamics Modeling
Xiao Luo
Yiyang Gu
Huiyu Jiang
Hang Zhou
Jinsheng Huang
Wei Ju
Zhiping Xiao
Ming Zhang
Yizhou Sun
AI4CE
27
0
0
11 Nov 2023
Mixture of Weak & Strong Experts on Graphs
Mixture of Weak & Strong Experts on Graphs
Hanqing Zeng
Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
23
3
0
09 Nov 2023
Improving Multi-Task Generalization via Regularizing Spurious
  Correlation
Improving Multi-Task Generalization via Regularizing Spurious Correlation
Ziniu Hu
Zhe Zhao
Xinyang Yi
Tiansheng Yao
Lichan Hong
Yizhou Sun
Ed H. Chi
OOD
LRM
66
29
0
19 May 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
35
47
0
18 Feb 2022
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
220
450
0
11 Feb 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
167
1,058
0
13 Feb 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
181
878
0
07 Jun 2018
1