:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chenghao, Long, Qingqing, Wang, Ludi, Cui, Wenjuan, Yu, Jianjun, Du, Yi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2508.15392
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FOCAL-Attention for Heterogeneous Multi-Label Prediction
by: Zhang, Chenghao, et al.
Published: (2026)

CataLM: Empowering Catalyst Design Through Large Language Models
by: Wang, Ludi, et al.
Published: (2024)

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains
by: Liu, Yunhui, et al.
Published: (2024)

Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
by: Jin, Bowen, et al.
Published: (2023)

Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
by: Qin, Yijian, et al.
Published: (2023)

Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
by: Zhu, Xi, et al.
Published: (2025)

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment
by: Xie, Huanyi, et al.
Published: (2025)

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
by: Xu, Yuanyuan, et al.
Published: (2025)

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
by: Su, Guangxin, et al.
Published: (2025)

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
by: Mao, Qiheng, et al.
Published: (2024)

GLBench: A Comprehensive Benchmark for Graph with Large Language Models
by: Li, Yuhan, et al.
Published: (2024)

LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs
by: Zhang, Ying, et al.
Published: (2026)

Text Classification using Graph Convolutional Networks: A Comprehensive Survey
by: Rizvi, Syed Mustafa Haider, et al.
Published: (2024)

HiGPT: Heterogeneous Graph Language Model
by: Tang, Jiabin, et al.
Published: (2024)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
by: Sun, Shengyin, et al.
Published: (2023)

UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding
by: Fang, Yi, et al.
Published: (2024)

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
by: Dammu, Preetam Prabhu Srikar, et al.
Published: (2024)

Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference
by: Li, Quan, et al.
Published: (2024)

TokenShapley: Token Level Context Attribution with Shapley Value
by: Xiao, Yingtai, et al.
Published: (2025)

CLT-Forge: A Scalable Library for Cross-Layer Transcoders and Attribution Graphs
by: Draye, Florent, et al.
Published: (2026)

RAT-Bench: A Comprehensive Benchmark for Text Anonymization
by: Krčo, Nataša, et al.
Published: (2026)

Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model
by: Foolad, Shima, et al.
Published: (2023)

Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
by: Ai, Wei, et al.
Published: (2024)

FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
by: Tang, Anke, et al.
Published: (2024)

Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text
by: Al-Lawati, Ali, et al.
Published: (2025)

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity
by: Zhang, Hangfan, et al.
Published: (2025)

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
by: Qin, Wenjuan, et al.
Published: (2025)

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
by: Zhang, Zhongjian, et al.
Published: (2026)

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
by: Xia, Peng, et al.
Published: (2024)

Learning to Attribute with Attention
by: Cohen-Wang, Benjamin, et al.
Published: (2025)

Neuron-Level Knowledge Attribution in Large Language Models
by: Yu, Zeping, et al.
Published: (2023)

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
by: Zhang, Jiasheng, et al.
Published: (2024)

HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
by: Bazaga, Adrián, et al.
Published: (2024)

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
by: Wang, Shuaiqi, et al.
Published: (2025)

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
by: Khatry, Anirudh, et al.
Published: (2025)

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
by: Qiu, Quantong, et al.
Published: (2026)

Large Language Models For Text Classification: Case Study And Comprehensive Review
by: Kostina, Arina, et al.
Published: (2025)

Large Language Models on Graphs: A Comprehensive Survey
by: Jin, Bowen, et al.
Published: (2023)