Title
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 41 1 0 26 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 28 7 0 25 Aug 2024
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? Zhongjian Zhang Xiao Wang Huichi Zhou Yue Yu Mengmei Zhang Cheng Yang Chuan Shi AAML 29 7 0 16 Aug 2024
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series Weijia Zhang Chenlong Yin Hao Liu Hui Xiong AI4TS 58 3 0 12 Aug 2024
Investigating Instruction Tuning Large Language Models on Graphs Kerui Zhu Bo-Wei Huang Bowen Jin Yizhu Jiao Ming Zhong Kevin Chang Shou-De Lin Jiawei Han 59 2 0 10 Aug 2024
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation Wenbo Shang Xuliang Zhu Xin Huang 39 3 0 10 Aug 2024
A Survey of Mamba Shuwei Shi Shibing Chu Rui An Wenqi Fan Yuee Xie Hui Liu Yuanping Chen Qing Li AI4CE 40 26 0 02 Aug 2024
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment Akira Kasuga Ryo Yonetani 31 1 0 31 Jul 2024
LocalValueBench: A Collaboratively Built and Extensible Benchmark for Evaluating Localized Value Alignment and Ethical Safety in Large Language Models Achintya Gopal Nicholas Wai Long Lau Eva Adelina Susanto Chi Lok Yu Aditya Paul ELM 25 7 0 27 Jul 2024
Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing Aobo Xu Bingyu Chang Qingpeng Liu Ling Jian 28 0 0 25 Jul 2024
Online Social Network Data-Driven Early Detection on Short-Form Video Addiction Fang-Yu Kuo 22 0 0 24 Jul 2024
Struct-X: Enhancing Large Language Models Reasoning with Structured Data Xiaoyu Tan Haoyu Wang Xihe Qiu Yuan-Chia Cheng Yinghui Xu Wei Chu Yuan Qi 46 4 0 17 Jul 2024
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness Kai Guo Zewen Liu Zhikai Chen Hongzhi Wen Wei Jin Jiliang Tang Yi Chang AAML 37 4 0 16 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 42 1 0 10 Jul 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li Peisong Wang Xiao Zhu Aochuan Chen Haiyun Jiang Deng Cai Victor Wai Kin Chan Jia Li 53 12 0 10 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 59 0 0 01 Jul 2024
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation Jianheng Tang Qifan Zhang Yuhan Li Nuo Chen Jia Li 19 2 0 29 Jun 2024
CLEAR: Can Language Models Really Understand Causal Graphs? Sirui Chen Mengying Xu Kun Wang Xingyu Zeng Rui Zhao Shengjie Zhao Chaochao Lu LRM ELM 29 7 0 24 Jun 2024
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? Yizhuo Zhang Heng Wang Shangbin Feng Zhaoxuan Tan Xiaochuang Han Tianxing He Yulia Tsvetkov LRM 44 16 0 23 Jun 2024
Large Language Models for Link Stealing Attacks Against Graph Neural Networks Faqian Guan Tianqing Zhu Hui Sun Wanlei Zhou Philip S. Yu AAML 35 0 0 22 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 45 2 0 20 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 45 4 0 19 Jun 2024
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling Zhong Guan Hongke Zhao Likang Wu Ming He Jianpin Fan 40 3 0 19 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 49 3 0 19 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 46 2 0 18 Jun 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs Jiasheng Zhang Jialin Chen Menglin Yang Aosong Feng Shuang Liang Jie Shao Rex Ying 34 10 0 17 Jun 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Yi Fang Dongzhe Fan Sirui Ding Ninghao Liu Qiaoyu Tan VLM 39 3 0 17 Jun 2024
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models Yi Fang Dongzhe Fan Daochen Zha Qiaoyu Tan 42 9 0 17 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 33 10 0 15 Jun 2024
StrucText-Eval: An Autogenerated Benchmark for Evaluating Large Language Model's Ability in Structure-Rich Text Understanding Zhouhong Gu Haoning Ye Zeyang Zhou Hongwei Feng Yanghua Xiao ELM 44 1 0 15 Jun 2024
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation Haohao Qu Wenqi Fan Zihuai Zhao Qing Li 20 16 0 15 Jun 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li Zixing Gou Xiangnan Zhang Zhongyuan Liu Sirui Li Yuntong Hu Chen Ling Zheng Zhang Liang Zhao 34 6 0 14 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models Shichang Zhang Da Zheng Jiani Zhang Qi Zhu Xiang Song Soji Adeshina Christos Faloutsos George Karypis Yizhou Sun VLM 23 1 0 13 Jun 2024
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs A. Bakumenko Katerina Hlaváčková-Schindler Claudia Plant Nina C. Hubig 23 5 0 05 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 23 6 0 05 Jun 2024
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu Zongyu Wu Min Lin Xiang Zhang Suhang Wang 30 11 0 03 Jun 2024
Joint Embeddings for Graph Instruction Tuning Vlad Argatu Aaron Haag Oliver Lohse 41 0 0 31 May 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models Hyunjin Seo Taewon Kim J. Yang Eunho Yang 41 0 0 28 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 38 2 0 27 May 2024
GRAG: Graph Retrieval-Augmented Generation Yuntong Hu Zhihan Lei Zhengwu Zhang Bo Pan Chen Ling Liang Zhao 40 20 0 26 May 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level Runlin Lei Yuwei Hu Yuchen Ren Zhewei Wei 40 2 0 26 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 35 3 0 22 May 2024
Could Chemical LLMs benefit from Message Passing Jiaqing Xie Ziheng Chi 35 0 0 14 May 2024
A Survey of Large Language Models for Graphs Xubin Ren Jiabin Tang Dawei Yin Nitesh V. Chawla Chao Huang 30 31 0 10 May 2024
Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA Benchmark Evan M. Williams Kathleen M. Carley CoGe 44 0 0 10 May 2024
Large Language Model Enhanced Machine Learning Estimators for Classification Yuhang Wu Yingfei Wang Chu Wang Zeyu Zheng 22 0 0 08 May 2024
Large Language Models for UAVs: Current State and Pathways to the Future Shumaila Javaid Nasir Saeed Bin He 37 17 0 02 May 2024
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations Kirandeep Kaur Chirag Shah 34 4 0 01 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review M. Jovanovic Peter Voss ELM CLL KELM 37 5 0 28 Apr 2024
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning Qi Zhu Da Zheng Xiang Song Shichang Zhang Bowen Jin Yizhou Sun George Karypis 49 1 0 28 Apr 2024