Neural Algorithmic Reasoning

6 May 2021

Papers citing "Neural Algorithmic Reasoning"

50 / 70 papers shown

Title
Learning Repetition-Invariant Representations for Polymer Informatics Yihan Zhu Gang Liu Eric Inae Tengfei Luo Meng Jiang 17 0 0 15 May 2025
Graph neural networks extrapolate out-of-distribution for shortest paths Robert Nerem Samantha Chen Sanjoy Dasgupta Yusu Wang 47 0 0 24 Mar 2025
Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics Herman Chau Helen Jenne Davis Brown Jesse He Mark Raugas Sara Billey Henry Kvinge 38 0 0 09 Mar 2025
Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization Yicong Zheng Nora Wolf Charan Ranganath R. C. O'Reilly Kevin L McKee 32 0 0 04 Mar 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 47 2 0 12 Jan 2025
Open-Book Neural Algorithmic Reasoning Hefei Li Chao Peng Chenyang Xu Zhengfeng Yang LRM 51 0 0 03 Jan 2025
Are Large-Language Models Graph Algorithmic Reasoners? Alexander K. Taylor Anthony Cuturrufo Vishal Yathish Mingyu Derek Ma Wei Wang LRM 53 0 0 29 Oct 2024
Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev JJ Wilson Davide Buffelli Pietro Lio 31 0 0 19 Oct 2024
Measuring Diversity: Axioms and Challenges Mikhail Mironov Liudmila Prokhorenkova 29 1 0 18 Oct 2024
Neural Symbolic Regression of Complex Network Dynamics Haiquan Qiu Shuzhi Liu Quanming Yao 35 1 0 15 Oct 2024
NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms Efimia Panagiotaki D. Martini Lars Kunze Petar Veličković 3DPC 28 0 0 14 Oct 2024
Positional Attention: Expressivity and Learnability of Algorithmic Computation Artur Back de Luca George Giapitzakis Shenghao Yang Petar Veličković K. Fountoulakis 46 1 0 02 Oct 2024
Challenges of Generating Structurally Diverse Graphs Fedor Velikonivtsev Mikhail Mironov Liudmila Prokhorenkova 38 3 0 27 Sep 2024
Understanding GNNs for Boolean Satisfiability through Approximation Algorithms Jan Hůla David Mojžíšek Mikoláš Janota 33 3 0 27 Aug 2024
GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs Florian Grötschla Joël Mathys Christoffer Raun Roger Wattenhofer 25 1 0 20 Aug 2024
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks Zepeng Zhang Olga Fink GNN 37 1 0 05 Aug 2024
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents Haoyi Xiong Zhiyuan Wang Xuhong Li Jiang Bian Zeke Xie Shahid Mumtaz Laura E. Barnes LLMAG 36 7 0 11 Jul 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning Benjamin Estermann Luca A. Lanzendörfer Yannick Niedermayr Roger Wattenhofer 50 2 0 29 Jun 2024
Transformers meet Neural Algorithmic Reasoners Wilfried Bounsi Borja Ibarz Andrew Dudzik Jessica B. Hamrick Larisa Markeeva Alex Vitvitskyi Razvan Pascanu Petar Veličković NAI AI4CE LRM 38 5 0 13 Jun 2024
Learning equivariant tensor functions with applications to sparse vector recovery Wilson Gregory Josué Tonelli-Cueto Nicholas F. Marshall Andrew S. Lee Soledad Villar 39 1 0 03 Jun 2024
Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford Bahare Fatemi Ethan Hall Anton Tsitsulin Seyed Mehran Kazemi Jonathan J. Halcrow Bryan Perozzi Vahab Mirrokni 44 30 0 28 May 2024
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory Nikola Zubić Federico Soldá Aurelio Sulser Davide Scaramuzza LRM BDL 52 5 0 26 May 2024
Graph Neural Networks for Binary Programming Moshe Eliasof Eldad Haber GNN 35 0 0 07 Apr 2024
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods Montgomery Bohde Meng Liu Alexandra Saxton Shuiwang Ji OOD 40 8 0 07 Mar 2024
Discrete Neural Algorithmic Reasoning Gleb Rodionov Liudmila Prokhorenkova OOD NAI 44 3 0 18 Feb 2024
The Deep Equilibrium Algorithmic Reasoner Dobrik Georgiev Pietro Lió Davide Buffelli 96 0 0 09 Feb 2024
Simulation of Graph Algorithms with Looped Transformers Artur Back de Luca K. Fountoulakis 58 14 0 02 Feb 2024
SymbolicAI: A framework for logic-based approaches combining generative models and solvers Marius-Constantin Dinu Claudiu Leoveanu-Condrei Markus Holzleitner Werner Zellinger Sepp Hochreiter 43 10 0 01 Feb 2024
Triplet Edge Attention for Algorithmic Reasoning Yeonjoon Jung Sungsoo Ahn GNN 39 2 0 09 Dec 2023
GSC: Generalizable Service Coordination Farzad Mohammadi V. Shah-Mansouri GNN 22 1 0 05 Nov 2023
What Algorithms can Transformers Learn? A Study in Length Generalization Hattie Zhou Arwen Bradley Etai Littwin Noam Razin Omid Saremi Josh Susskind Samy Bengio Preetum Nakkiran 34 111 0 24 Oct 2023
GRASP: Accelerating Shortest Path Attacks via Graph Attention Zohair Shafi Benjamin A. Miller Ayan Chatterjee Tina Eliassi-Rad R. Caceres 20 0 0 12 Oct 2023
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks Zohair Shafi Benjamin A. Miller Tina Eliassi-Rad R. Caceres 15 1 0 12 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms? Morris Yau Eric Lu Nikolaos Karalias Jessica Xu Stefanie Jegelka 26 1 0 01 Oct 2023
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning Julian Minder Florian Grötschla Joël Mathys Roger Wattenhofer 29 8 0 21 Sep 2023
Neural Priority Queues for Graph Neural Networks Rishabh Jain Petar Velivcković Pietro Lio GNN 32 5 0 18 Jul 2023
Parallel Algorithms Align with Neural Execution Valerie Engelmayer Dobrik Georgiev Petar Velickovic 37 7 0 08 Jul 2023
Recursive Algorithmic Reasoning Jonas Jürß D. Jayalath Petar Velickovic 32 7 0 01 Jul 2023
Asynchronous Algorithmic Alignment with Cocycles Andrew Dudzik Tamara von Glehn Razvan Pascanu Petar Velivcković 26 9 0 27 Jun 2023
Neural Algorithmic Reasoning Without Intermediate Supervision Gleb Rodionov Liudmila Prokhorenkova OffRL LRM OOD 31 10 0 23 Jun 2023
Finding Hamiltonian cycles with graph neural networks Filip Bosnić M. Šikić 25 1 0 10 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 34 7 0 06 Jun 2023
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning Yingcong Li Kartik K. Sreenivasan Angeliki Giannou Dimitris Papailiopoulos Samet Oymak LRM 18 16 0 30 May 2023
Faith and Fate: Limits of Transformers on Compositionality Nouha Dziri Ximing Lu Melanie Sclar Xiang Lorraine Li Liwei Jian ... Sean Welleck Xiang Ren Allyson Ettinger Zaïd Harchaoui Yejin Choi ReLM LRM 30 334 0 29 May 2023
Large Language Models as Tool Makers Tianle Cai Xuezhi Wang Tengyu Ma Xinyun Chen Denny Zhou LLMAG 37 186 0 26 May 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module Claudio Battiloro Indro Spinelli Lev Telyatnikov Michael M. Bronstein Simone Scardapane P. Lorenzo BDL 21 14 0 25 May 2023
Neural Algorithmic Reasoning for Combinatorial Optimisation Dobrik Georgiev Danilo Numeroso D. Bacciu Pietro Lio NAI 27 14 0 18 May 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 39 26 0 20 Feb 2023
Dual Algorithmic Reasoning Danilo Numeroso D. Bacciu Petar Velickovic 35 18 0 09 Feb 2023
Learning Graph Algorithms With Recurrent Graph Neural Networks Florian Grötschla Joël Mathys Roger Wattenhofer GNN 19 6 0 09 Dec 2022