Text-space Graph Foundation Models: Comprehensive Benchmarks and New
Insights

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights

15 June 2024

Wei Jin

Bahare Fatemi

Anton Tsitsulin

Hui Liu

Papers citing "Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights"

19 / 19 papers shown

Title
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model Haoyan Xu Zhengtao Yao X. Zhang Z. Wang Langzhou He Yushun Dong Philip S. Yu Mengyuan Li Y. Zhao OODD VLM 65 0 0 29 Apr 2025
KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs Elan Markowitz Krupa Galiya Greg Ver Steeg Aram Galstyan 26 0 0 09 Apr 2025
Rethinking Graph Structure Learning in the Era of LLMs Zhihan Zhang Xunkai Li Guang Zeng Hongchao Qin R. Li Guoren Wang 46 0 0 27 Mar 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Zehong Wang Zheyuan Zhang Tianyi Ma Nitesh V. Chawla Chuxu Zhang Yanfang Ye AI4CE 79 0 0 21 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Jiliang Tang AI4CE 64 0 0 30 Nov 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 48 3 0 04 Jun 2024
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs Yufei He Yuan Sui Xiaoxin He Bryan Hooi AI4CE 92 15 0 21 Feb 2024
LiGNN: Graph Neural Networks at LinkedIn Fedor Borisyuk Shihai He Yunbo Ouyang Morteza Ramezani Peng Du ... David Stein Baolei Li Haichao Wei Amol Ghoting Souvik Ghosh GNN 30 11 0 17 Feb 2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering Xiaoxin He Yijun Tian Yifei Sun Nitesh V. Chawla T. Laurent Yann LeCun Xavier Bresson Bryan Hooi RALM 104 68 0 12 Feb 2024
Neural Scaling Laws on Graphs Jingzhe Liu Haitao Mao Zhikai Chen Tong Zhao Neil Shah Jiliang Tang 40 9 0 03 Feb 2024
Graph Domain Adaptation: Challenges, Progress and Prospects Boshen Shi Yongqing Wang Fangda Guo Bingbing Xu Huawei Shen Xueqi Cheng OOD 32 5 0 01 Feb 2024
Investigating the Catastrophic Forgetting in Multimodal Large Language Models Yuexiang Zhai Shengbang Tong Xiao Li Mu Cai Qing Qu Yong Jae Lee Y. Ma VLM MLLM CLL 77 78 0 19 Sep 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin 76 50 0 18 Jun 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 283 2,232 0 22 Mar 2023
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 46 77 0 30 Sep 2022
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 152 130 0 29 Oct 2021
Grale: Designing Networks for Graph Learning Jonathan J. Halcrow A. Mosoi Sam Ruth Bryan Perozzi GNN 63 46 0 23 Jul 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 228 4,460 0 23 Jan 2020