Awesome-Multi-Domain-Graph-Foundation-Models

Paper List about multi-domain graph foundation models

Multi-domain Pretraining GFMs

• (WWW 2025) SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
  Paper | Code

• (WWW 2025) RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry
  Paper | Code

• (KDD 2024) One for All: Towards Training One Graph Model for All Classification Tasks
  Paper | Code

• (LoG 2024) A Pure Transformer Pretraining Framework on Text-attributed Graphs
  Paper | Code

• (AAAI 2025) Unified Graph Neural Networks Pre-training for Multi-domain Graphs
  Paper | Code: 待补充

• A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks
  Paper | Code: 待补充

• (NeurIPS 2025)Scalable Graph Generative Modeling via Substructure Sequences
  Paper | Code

• (WWW 2025) UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs
  Paper | Code: 待补充

• (KDD 2025) GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
  Paper | Code

Cross-domain Transfer GFMs

• （AAAI 2026）SA^2GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
  Paper | Code: 待补充

• (WWW 2025) GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
  Paper | Code

• (NeurIPS 2025) SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
  Paper | Code

• (NeurIPS 2025) GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
  Paper | Code

• LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
  Paper | Code

• Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks
  Paper | Code: 待补充

• (NeurIPS 2025) One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
  Paper | [Code]https://github.com/hedongxiao-tju/UniPrompt

General & Adaptive GFMs

• (NeurIPS 2024) GFT: Graph Foundation Model with Transferable Tree Vocabulary
  Paper | Code

• (ICLR 2025) GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
  Paper | Code

• (ICML 2025) GraphGPT: Generative Pre-trained Graph Eulerian Transformer
  Paper | Code

• (ICML 2025) AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization
  Paper

• (NeurIPS 2025) GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
  Paper | Code

• (NeurIPS 2025) GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
  Paper | Code

• (NeurIPS 2025) Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
  Paper | Code: 待补充

• GMoPE: A Prompt-Expert Mixture Framework for Graph Foundation Models
  Paper | Code: 待补充

Federated Graph GFMs

• (NeurIPS 2025) Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
  Paper

Task-specific GFMs

Anomaly Detection

• (KDD 2025) AnomalyGFM: Graph Foundation Model for Zero-shot/Few-shot Anomaly Detection
  Paper | Code

Node Classification

• (AAAI 2025) Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
  Paper

Knowledge Graph Reasoning

• (NeurIPS 2024) A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
  Paper | Code