Bo Long

Venues

Frequent coauthors

Papers

1. How to Make LMs Strong Node Classifiers?
   EACL 2026 ·

   Zhe Xu

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2. Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
   AAAI 2026 ·

   Yu Song

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3. A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
   SIGKDD 2025 ·

   Yu Song

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4. A Scalable and Effective Alternative to Graph Transformers
   AAAI 2025 ·

   Kaan Sancak

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5. APOLLO: SGD-like Memory, AdamW-level Performance
   MLSys 2025 ·

   Hanqing Zhu

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6. Billion-Scale Graph Deep Learning Framework for Ads Recommendation
   CIKM 2025 ·

   Si Zhang

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7. External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
   WWW 2025 ·

   Mingfu Liang

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8. GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
   CIKM 2025 ·

   Yu Song

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9. InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
   CIKM 2025 ·

   Zhichen Zeng

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10. Learning Graph Quantized Tokenizers
    ICLR 2025 ·

    Limei Wang

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11. The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
    ACL 2025 ·

    Huixue Zhou

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12. EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
    RecSys 2024 ·

    Chiyu Zhang

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13. VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
    ICLR 2024 ·

    Dongqi Fu

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