ReFill: Reinforcement Learning for Fill-In Minimization | Paper Citation Record

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This paper cites Low Data Drug Discovery with One-shot Learning.

ReFill: Reinforcement Learning for Fill-In Minimization Low Data Drug Discovery with One-shot Learning

Reference 1

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This paper cites Amestoy, Timothy A.

ReFill: Reinforcement Learning for Fill-In Minimization Amestoy, Timothy A

Reference 2

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This paper cites Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters.

ReFill: Reinforcement Learning for Fill-In Minimization Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters

Reference 3

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ReFill: Reinforcement Learning for Fill-In Minimization Machine learning for combinatorial optimization: A methodological tour d’horizon

Reference 4

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This paper cites Lower bounds for the parameterized complexity of minimum fill-in and other completion problems.

ReFill: Reinforcement Learning for Fill-In Minimization Lower bounds for the parameterized complexity of minimum fill-in and other completion problems

Reference 5

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This paper cites Boisvert, Roldan Pozo, Karin Remington, Richard F.

ReFill: Reinforcement Learning for Fill-In Minimization Boisvert, Roldan Pozo, Karin Remington, Richard F

Reference 6

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ReFill: Reinforcement Learning for Fill-In Minimization State-of-the-art sparse direct solvers

Reference 7

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ReFill: Reinforcement Learning for Fill-In Minimization A Journey through the History of Numerical Linear Algebra

Reference 8

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ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

Reference 9

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ReFill: Reinforcement Learning for Fill-In Minimization Simple and deep graph convolutional networks

Reference 10

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ReFill: Reinforcement Learning for Fill-In Minimization Supervised community detection with line graph neural networks

Reference 11

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ReFill: Reinforcement Learning for Fill-In Minimization A survey of parameterized algorithms and the complexity of edge modification

Reference 12

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ReFill: Reinforcement Learning for Fill-In Minimization A fast minimum degree algorithm and matching lower bound

Reference 13

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ReFill: Reinforcement Learning for Fill-In Minimization Graph reinforcement learning for combinatorial optimization: A survey and unifying perspective, 2024

Reference 14

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This paper cites The PACE 2017 Parameterized Algorithms and Computational Experiments Challenge: The Second Iteration.

ReFill: Reinforcement Learning for Fill-In Minimization The PACE 2017 Parameterized Algorithms and Computational Experiments Challenge: The Second Iteration

Reference 15

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This paper cites Benchmarking Graph Neural Networks.

ReFill: Reinforcement Learning for Fill-In Minimization Benchmarking Graph Neural Networks

Reference 16

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ReFill: Reinforcement Learning for Fill-In Minimization Nested dissection of a regular finite element mesh

Reference 17

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ReFill: Reinforcement Learning for Fill-In Minimization Pande, and Jure Leskovec

Reference 18

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This paper cites A closer look at invalid action masking in policy gradient algorithms.

ReFill: Reinforcement Learning for Fill-In Minimization A closer look at invalid action masking in policy gradient algorithms

Reference 19

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ReFill: Reinforcement Learning for Fill-In Minimization Optimization of graph neural networks with natural gradient descent

Reference 20

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This paper cites An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

ReFill: Reinforcement Learning for Fill-In Minimization An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 21

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ReFill: Reinforcement Learning for Fill-In Minimization Learning combinatorial optimization algorithms over graphs

Reference 22

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ReFill: Reinforcement Learning for Fill-In Minimization Variational Graph Auto-Encoders

Reference 23

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ReFill: Reinforcement Learning for Fill-In Minimization Kipf and Max Welling

Reference 24

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ReFill: Reinforcement Learning for Fill-In Minimization Attention, Learn to Solve Routing Problems!

Reference 25

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ReFill: Reinforcement Learning for Fill-In Minimization Bronstein

Reference 26

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ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

Reference 27

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ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

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This paper cites Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?.

ReFill: Reinforcement Learning for Fill-In Minimization Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 29

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ReFill: Reinforcement Learning for Fill-In Minimization Streaming graph neural networks

Reference 30

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ReFill: Reinforcement Learning for Fill-In Minimization Markowitz

Reference 31

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ReFill: Reinforcement Learning for Fill-In Minimization Reinforcement learning for combinatorial optimization: A survey

Reference 32

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ReFill: Reinforcement Learning for Fill-In Minimization Finding increasingly large extremal graphs with alphazero and tabu search, 2023

Reference 33

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ReFill: Reinforcement Learning for Fill-In Minimization Rusu, Joel Veness, Marc G

Reference 34

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ReFill: Reinforcement Learning for Fill-In Minimization Maximum matchings in planar graphs via gaussian elimination

Reference 35

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ReFill: Reinforcement Learning for Fill-In Minimization Attending to Graph Transformers

Reference 36

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ReFill: Reinforcement Learning for Fill-In Minimization Recurrent space-time graph neural networks

Reference 37

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ReFill: Reinforcement Learning for Fill-In Minimization Stable-baselines3: Reliable reinforcement learning implementations

Reference 38

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ReFill: Reinforcement Learning for Fill-In Minimization Self- supervised graph transformer on large-scale molecular data

Reference 39

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ReFill: Reinforcement Learning for Fill-In Minimization Triangulated graphs and the elimination process

Reference 40

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ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

Reference 41

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ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

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ReFill: Reinforcement Learning for Fill-In Minimization Rossi and Nesreen K

Reference 43

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ReFill: Reinforcement Learning for Fill-In Minimization The graph neural network model

Reference 44

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ReFill: Reinforcement Learning for Fill-In Minimization Proximal Policy Optimization Algorithms

Reference 45

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ReFill: Reinforcement Learning for Fill-In Minimization Sutherland, and Ali Kemal Sinop

Reference 46

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ReFill: Reinforcement Learning for Fill-In Minimization Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al

Reference 47

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ReFill: Reinforcement Learning for Fill-In Minimization Mastering the game of go without human knowledge

Reference 48

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ReFill: Reinforcement Learning for Fill-In Minimization Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, and Wim Nuijten

Reference 49

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ReFill: Reinforcement Learning for Fill-In Minimization Attention-based graph neural networks: a survey

Reference 50

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ReFill: Reinforcement Learning for Fill-In Minimization Sutton and Andrew G

Reference 51

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ReFill: Reinforcement Learning for Fill-In Minimization Or-gym: A reinforcement learning library for operations research problems

Reference 52

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ReFill: Reinforcement Learning for Fill-In Minimization Graph Attention Networks

Reference 53

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ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

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ReFill: Reinforcement Learning for Fill-In Minimization Computing the minimum fill-in is np-complete

Reference 55

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ReFill: Reinforcement Learning for Fill-In Minimization GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Reference 56

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ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:47:19.790912Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13070272-b555-4808-aedb-55e7119155e9 · outbound

This paper cites Graph convolutional networks: Algorithms, applications and open challenges.

ReFill: Reinforcement Learning for Fill-In Minimization Graph convolutional networks: Algorithms, applications and open challenges

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:19.771253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f5584bb-2b79-44fa-a722-b07ac045197c · outbound

This paper cites Deep learning on graphs: A survey.

ReFill: Reinforcement Learning for Fill-In Minimization Deep learning on graphs: A survey

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:19.752333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8cd9ab56-cf08-4d2d-83c4-4c6de5aa88a0 · outbound

This paper cites an unresolved cited work.

ReFill: Reinforcement Learning for Fill-In Minimization Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:47:19.732112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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