Learning on Large-scale Text-attributed Graphs via Variational Inference

26 October 2022

Xing Xie

Jian Tang

VLM

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Papers citing "Learning on Large-scale Text-attributed Graphs via Variational Inference"

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Title
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques Qiheng Mao Zemin Liu Chenghao Liu Zhuo Li Jianling Sun 14 7 0 04 Feb 2024
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models Costas Mavromatis Petros Karypis George Karypis KELM RALM 45 2 0 03 Feb 2024
LPNL: Scalable Link Prediction with Large Language Models Baolong Bi Shenghua Liu Yiwei Wang Lingrui Mei Xueqi Cheng LRM 30 6 0 24 Jan 2024
Graph Language Models Moritz Plenz Anette Frank KELM AI4CE 15 5 0 13 Jan 2024
scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data Rui Yang Wenrui Dai Chenglin Li Junni Zou Dapeng Wu Hongkai Xiong 27 1 0 16 Dec 2023
Efficient Large Language Models Fine-Tuning On Graphs Rui Xue Xipeng Shen Ruozhou Yu Xiaorui Liu 27 3 0 07 Dec 2023
Large Language Models on Graphs: A Comprehensive Survey Bowen Jin Gang Liu Chi Han Meng-Long Jiang Heng Ji Jiawei Han AI4CE 26 136 0 05 Dec 2023
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks Zheyi Qin Randy Paffenroth A. Jayasumana GNN 10 1 0 03 Dec 2023
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs Shengyin Sun Yuxiang Ren Chen Ma Xuecang Zhang 103 20 0 24 Nov 2023
A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li Zhixun Li Peisong Wang Jia Li Xiangguo Sun Hongtao Cheng Jeffrey Xu Yu 30 54 0 21 Nov 2023
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs Yi Qin Xin Eric Wang Ziwei Zhang Wenwu Zhu AI4CE 20 29 0 27 Oct 2023
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs Yichuan Li Kaize Ding Kyumin Lee SSL 10 24 0 23 Oct 2023
Multimodal Graph Learning for Generative Tasks Minji Yoon Jing Yu Koh Bryan Hooi Ruslan Salakhutdinov 25 7 0 11 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 109 71 0 02 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 42 0 0 29 Sep 2023
One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu Jiarui Feng Lecheng Kong Ningyue Liang Dacheng Tao Yixin Chen Muhan Zhang AI4CE 15 109 0 29 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 19 6 0 26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 54 13 0 25 Sep 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 28 15 0 28 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 24 8 0 21 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 52 151 0 14 Aug 2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning Keyu Duan Qian Liu Tat-Seng Chua Shuicheng Yan Wei Tsang Ooi Qizhe Xie Junxian He 22 56 0 03 Aug 2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs Zhikai Chen Haitao Mao Hang Li Wei Jin Haifang Wen ... Shuaiqiang Wang Dawei Yin Wenqi Fan Hui Liu Jiliang Tang AI4CE 38 265 0 07 Jul 2023
SENSEi: Input-Sensitive Compilation for Accelerating GNNs Damitha Sandeepa Lenadora Vimarsh Sathia Gerasimos Gerogiannis Serif Yesil Josep Torrellas Charith Mendis GNN 21 1 0 27 Jun 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning Xiaoxin He Xavier Bresson T. Laurent Adam Perold Yann LeCun Bryan Hooi 31 71 0 31 May 2023
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings William Brannon Wonjune Kang S. Fulay Hang Jiang Brandon Roy Dwaipayan Roy Jad Kabbara SSL 14 22 0 23 May 2023
Continual Learning on Dynamic Graphs via Parameter Isolation Peiyan Zhang Yuchen Yan Chaozhuo Li Senzhang Wang Xing Xie Guojie Song Sunghun Kim 56 35 0 23 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 13 29 0 20 Apr 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 11 97 0 10 Mar 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 32 37 0 27 Feb 2023
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 150 130 0 29 Oct 2021
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search Jason Zhu Yanling Cui Yuming Liu Hao-Lun Sun Xue Li Markus Pelger Tianqi Yan Liangjie Zhang Ruofei Zhang Huasha Zhao AI4CE 67 74 0 15 Jan 2021
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,364 0 25 Aug 2014