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End to end learning and optimization on graphs

End to end learning and optimization on graphs

31 May 2019
Bryan Wilder
Eric Ewing
B. Dilkina
Milind Tambe
    GNN
ArXivPDFHTML

Papers citing "End to end learning and optimization on graphs"

15 / 15 papers shown
Title
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
Qiyi Wang
Yinning Shao
Yunlong Ma
Min Liu
OOD
77
0
0
04 Mar 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
Shuyi Chen
Ferdinando Fioretto
Feng Qiu
Shixiang Zhu
75
1
0
25 Feb 2025
LPGD: A General Framework for Backpropagation through Embedded
  Optimization Layers
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus
Georg Martius
Vít Musil
AI4CE
52
1
0
08 Jul 2024
Building Socially-Equitable Public Models
Building Socially-Equitable Public Models
Yejia Liu
Jianyi Yang
Pengfei Li
Tongxin Li
Shaolei Ren
OffRL
44
0
0
04 Jun 2024
Decision-Focused Learning: Foundations, State of the Art, Benchmark and
  Future Opportunities
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
28
57
0
25 Jul 2023
Leaving the Nest: Going Beyond Local Loss Functions for
  Predict-Then-Optimize
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
Sanket Shah
Andrew Perrault
Bryan Wilder
Milind Tambe
23
9
0
26 May 2023
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
27
38
0
06 Nov 2022
Rethinking the positive role of cluster structure in complex networks
  for link prediction tasks
Rethinking the positive role of cluster structure in complex networks for link prediction tasks
Shan-Shan Zhang
Wenjiao Zhang
Zhan Bu
19
0
0
04 Nov 2022
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
61
69
0
09 Nov 2021
Integrated Conditional Estimation-Optimization
Integrated Conditional Estimation-Optimization
Sirui Chen
Paul Grigas
Zuo‐Jun Max Shen
CML
33
25
0
24 Oct 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph
  Representation Learning
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
Marinos Poiitis
Pavlos Sermpezis
Athena Vakali
31
0
0
06 Sep 2021
LEO: Learning Energy-based Models in Factor Graph Optimization
LEO: Learning Energy-based Models in Factor Graph Optimization
Paloma Sodhi
Eric Dexheimer
Mustafa Mukadam
Stuart Anderson
Michael Kaess
40
16
0
04 Aug 2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph
  Optimization Problems on MultiGPU Systems
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
Weijian Zheng
Dali Wang
Fengguang Song
GNN
OffRL
AI4CE
18
1
0
18 May 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
32
347
0
18 Feb 2021
Graph InfoClust: Leveraging cluster-level node information for
  unsupervised graph representation learning
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis
George Karypis
27
54
0
15 Sep 2020
1