Efficient and effective training of language and graph neural network
models

Efficient and effective training of language and graph neural network models

22 June 2022

Trishul Chilimbi

George Karypis

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Papers citing "Efficient and effective training of language and graph neural network models"

9 / 9 papers shown

Title
GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification Aarush Sinha AI4CE 367 0 0 24 Feb 2025
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 304 0 0 29 Oct 2024
Towards Graph Foundation Models for PersonalizationThe Web Conference (WWW), 2024 Andreas Damianou Francesco Fabbri Paul Gigioli Marco De Nadai Alice Wang Enrico Palumbo M. Lalmas AI4CE 146 17 0 12 Mar 2024
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models Costas Mavromatis Petros Karypis George Karypis KELM RALM 430 5 0 03 Feb 2024
Large Language Models on Graphs: A Comprehensive SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Sara Szymkuć Gang Liu Chi Han Meng Jiang Heng Ji Jiawei Han AI4CE 295 240 0 05 Dec 2023
TouchUp-G: Improving Feature Representation through Graph-Centric FinetuningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 453 20 0 25 Sep 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph ApplicationsKnowledge Discovery and Data Mining (KDD), 2023 Han Xie Da Zheng Jun Ma Houyu Zhang V. Ioannidis ... Sheng Wang Carl Yang Yi Xu Belinda Zeng Trishul Chilimbi AI4CE 167 44 0 05 Jun 2023
Towards Foundation Models for Relational Databases [Vision Paper] Liane Vogel Benjamin Hilprecht Carsten Binnig LMTD 111 12 0 24 May 2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis V. Ioannidis Shen Wang Da Zheng Soji Adeshina Jun Ma Han Zhao Christos Faloutsos George Karypis 191 39 0 20 Apr 2023