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记录研究生学习历程

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs

MODALITY-FREE GRAPH IN-CONTEXT ALIGNMENT

MLDGG: Meta-Learning for Domain Generalization on Graphs

Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning

Contextual Structure Knowledge Transfer for Graph Neural Networks

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

LLaGA: Large Language and Graph Assistant

GraphBridge: Towards Arbitrary Transfer Learning in GNNs

Graph Foundation Models: A Comprehensive Survey

GraphGPT: Graph Instruction Tuning for Large Language Models

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model阅读

9.26-Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining

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