Demystifying Higher-Order Graph Neural Networks

18 June 2024

Torsten Hoefler

Papers citing "Demystifying Higher-Order Graph Neural Networks"

21 / 21 papers shown

Title
Affordable AI Assistants with Knowledge Graph of Thoughts Maciej Besta Lorenzo Paleari Jia Hao Andrea Jiang Robert Gerstenberger You Wu ... Jón Gunnar Hannesson Grzegorz Kwa'sniewski Marcin Copik H. Niewiadomski Torsten Hoefler LLMAG RALM 41 0 0 03 Apr 2025
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu Zongyu Wu Min Lin Xiang Zhang Suhang Wang 22 2 0 03 Jun 2024
Can we Soft Prompt LLMs for Graph Learning Tasks? Zheyuan Liu Xiaoxin He Yijun Tian Nitesh V. Chawla 23 11 0 15 Feb 2024
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases Hongyu Ren Mikhail Galkin Michael Cochez Zhaocheng Zhu J. Leskovec NAI GNN 21 26 0 26 Mar 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network Yumeng Song Yu Gu Tianyi Li Jianzhong Qi Zhenghao Liu Christian S. Jensen Ge Yu SSL 18 5 0 10 Mar 2023
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 87 32 0 16 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 313 8,261 0 28 Jan 2022
MG-GCN: Scalable Multi-GPU GCN Training Framework M. F. Balin Kaan Sancak Ümit V. Çatalyürek GNN 21 7 0 17 Oct 2021
Simplicial Convolutional Neural Networks Maosheng Yang Elvin Isufi G. Leus GNN 50 57 0 06 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 117 78 0 01 Oct 2021
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs Devanshu Arya D. K. Gupta S. Rudinac M. Worring 30 8 0 22 Sep 2021
Parallel Algorithms for Finding Large Cliques in Sparse Graphs Lukas Gianinazzi Maciej Besta Yannick Schaffner Torsten Hoefler 31 21 0 20 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 948 0 27 Apr 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond Michael T. Schaub Yu Zhu Jean-Baptiste Seby T. Roddenberry Santiago Segarra 108 117 0 14 Jan 2021
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing Marcin Copik Grzegorz Kwa'sniewski Maciej Besta Michal Podstawski Torsten Hoefler 41 115 0 28 Dec 2020
Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability Maciej Besta S. M. Hassan S. Yalamanchili Rachata Ausavarungnirun O. Mutlu Torsten Hoefler GNN 32 48 0 21 Oct 2020
SlimSell: A Vectorizable Graph Representation for Breadth-First Search Maciej Besta Florian Marending Edgar Solomonik Torsten Hoefler 29 62 0 19 Oct 2020
The expressive power of kth-order invariant graph networks Floris Geerts 120 34 0 23 Jul 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 154 158 0 09 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 223 3,202 0 24 Nov 2016
Scaling betweenness centrality using communication-efficient sparse matrix multiplication Edgar Solomonik Maciej Besta Flavio Vella Torsten Hoefler 19 77 0 22 Sep 2016