Title
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty Yanzhe Wen Miao Hu Qi Zhang Zhu Lei Guang Zeng Rong-Hua Li Guoren Wang 135 0 0 20 May 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 85 0 0 04 Mar 2025
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 98 3 0 18 Jun 2024
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning Tao Zou Yuhao Mao Junchen Ye Bo Du 75 6 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 52 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 364 33 0 25 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Miao Hu Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 103 11 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 116 8 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 73 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 189 715 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 60 6 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 94 11 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 84 7 0 25 Nov 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 87 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 126 8 0 24 Aug 2022
Approximate Network Motif Mining Via Graph Learning Carlos Oliver Dexiong Chen Vincent Mallet P. Philippopoulos Karsten Borgwardt 41 4 0 02 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 111 57 0 19 May 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 116 115 0 01 Mar 2022
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 56 88 0 15 Apr 2021
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 71 202 0 30 Oct 2020