Motif Prediction with Graph Neural Networks

26 May 2021

Grzegorz Kwa'sniewski

G. Gjini

Raghavendra Kanakagiri

Papers citing "Motif Prediction with Graph Neural Networks"

25 / 25 papers shown

Title
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 50 0 0 04 Mar 2025
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 38 2 0 18 Jun 2024
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning Tao Zou Yuhao Mao Junchen Ye Bo Du 22 2 0 24 May 2024
GPU-Accelerated Batch-Dynamic Subgraph Matching Linshan Qiu Lu Chen Hailiang Jie Xiangyu Ke Yunjun Gao Yang Liu Zetao Zhang GNN 9 1 0 30 Jan 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 63 26 0 25 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 36 7 0 22 Jan 2024
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 30 6 0 30 Nov 2023
Cached Operator Reordering: A Unified View for Fast GNN Training Julia Bazinska Andrei Ivanov Tal Ben-Nun Nikoli Dryden Maciej Besta Siyuan Shen Torsten Hoefler GNN 14 3 0 23 Aug 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models Maciej Besta Nils Blach Aleš Kubíček Robert Gerstenberger Michal Podstawski ... Joanna Gajda Tomasz Lehmann H. Niewiadomski Piotr Nyczyk Torsten Hoefler LRM AI4CE LM&Ro 56 589 0 18 Aug 2023
Tango: rethinking quantization for graph neural network training on GPUs Shiyang Chen Da Zheng Caiwen Ding Chengying Huan Yuede Ji Hang Liu GNN MQ 23 5 0 02 Aug 2023
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores Maciej Besta Robert Gerstenberger Marc Fischer Michal Podstawski Nils Blach ... Wojciech Chlapek M. Michalewicz H. Niewiadomski Juergen Mueller Torsten Hoefler 8 9 0 18 May 2023
Sparse Hamming Graph: A Customizable Network-on-Chip Topology Patrick Iff Maciej Besta Matheus A. Cavalcante Tim Fischer Luca Benini Torsten Hoefler 13 6 0 25 Nov 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 45 9 0 20 Sep 2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations Maciej Besta Cesare Miglioli P. S. Labini Jakub Tvetek Patrick Iff ... Grzegorz Kwa'sniewski Niels Gleinig Flavio Vella O. Mutlu Torsten Hoefler 18 8 0 24 Aug 2022
Approximate Network Motif Mining Via Graph Learning Carlos G. Oliver Dexiong Chen Vincent Mallet P. Philippopoulos Karsten M. Borgwardt 17 3 0 02 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 55 0 19 May 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 25 106 0 01 Mar 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems Maciej Besta Raghavendra Kanakagiri Grzegorz Kwa'sniewski Rachata Ausavarungnirun Jakub Beránek ... Salvatore Di Girolamo Marek Konieczny Nils Blach O. Mutlu Torsten Hoefler 21 85 0 15 Apr 2021
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing Marcin Copik Grzegorz Kwa'sniewski Maciej Besta Michal Podstawski Torsten Hoefler 65 115 0 28 Dec 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 6 184 0 30 Oct 2020
SlimSell: A Vectorizable Graph Representation for Breadth-First Search Maciej Besta Florian Marending Edgar Solomonik Torsten Hoefler 57 64 0 19 Oct 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 170 170 0 09 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016
Scaling betweenness centrality using communication-efficient sparse matrix multiplication Edgar Solomonik Maciej Besta Flavio Vella Torsten Hoefler 49 77 0 22 Sep 2016