ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.14056
  4. Cited By
How to transfer algorithmic reasoning knowledge to learn new algorithms?

How to transfer algorithmic reasoning knowledge to learn new algorithms?

26 October 2021
Louis-Pascal Xhonneux
Andreea Deac
Petar Velickovic
Jian Tang
ArXivPDFHTML

Papers citing "How to transfer algorithmic reasoning knowledge to learn new algorithms?"

7 / 7 papers shown
Title
Open-Book Neural Algorithmic Reasoning
Hefei Li
Chao Peng
Chenyang Xu
Zhengfeng Yang
LRM
51
0
0
03 Jan 2025
Neural Algorithmic Reasoning Without Intermediate Supervision
Neural Algorithmic Reasoning Without Intermediate Supervision
Gleb Rodionov
Liudmila Prokhorenkova
OffRL
LRM
OOD
29
10
0
23 Jun 2023
The CLRS Algorithmic Reasoning Benchmark
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
161
88
0
31 May 2022
Learning heuristics for A*
Learning heuristics for A*
Danilo Numeroso
Davide Bacciu
Petar Velickovic
13
0
0
11 Apr 2022
Graph Neural Networks are Dynamic Programmers
Graph Neural Networks are Dynamic Programmers
Andrew Dudzik
Petar Velickovic
34
63
0
29 Mar 2022
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
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
1