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Accepted Papers

  1. Oral - Neural Algorithmic Reasoning with Multiple Correct Solutions
    Zeno Kujawa, John Poole, Dobrik Georgiev Georgiev, Danilo Numeroso, Henry Fleischmann, Pietro Lio
  2. Oral - Query-Aware Graph Neural Networks for Enhanced Retrieval-Augmented Generation
    Vibhor Agrawal, Fay Wang, Rishi Puri
  3. Oral - T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
    Alireza Dizaji, Benedict Aaron Tjandra, Mehrab Hamidi, Shenyang Huang, Guillaume Rabusseau
  4. Oral - GNN-as-Judge: Unleashing the Power of LLMs for Graph Semi-Supervised Learning with GNN Feedback
    Ruiyao Xu, Kaize Ding
  5. Oral - Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations
    Kunal Mukherjee, Zachary Harrison, Saeid Balaneshinkordan
  6. LOBSTUR: A Local Bootstrap Framework for Tuning Unsupervised Representations in Graph Neural Networks
    Sowon Jeong, Claire Donnat
  7. Integrating Graph Learning and Multimodal Fusion for Detecting Misinformation on Social Platforms
    Liliana Martirano
  8. Spectral Manifold Harmonization for Graph Imbalanced Regression
    Brenda Nogueira, Gabe Gomes, Meng Jiang, Nitesh V Chawla, Nuno Moniz
  9. Differentiable Community Detection with Graph Neural Networks and Stochastic Block Models
    William Arliss, W. Graham Mueller
  10. RAGE: RAG Enhanced LLM Explainer for Heterogeneous Graphs
    Raghvi Baloni, Chong Yihui, Ankur Teredesai
  11. MolX: Enhancing Large Language Models for Molecular Understanding With A Multi-Modal Extension
    Le Huy Khiem, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Ting Hua, Nitesh V Chawla
  12. LLM-GMP: Large Language Model-Based Message Passing for Zero-Shot Learning on Graphs
    Md Athikul Islam, Edoardo Serra
  13. Dependency Parsing is More Parameter-Efficient with Normalization
    Paolo Gajo, Domenic Rosati, Hassan Sajjad, Alberto Barrón-Cedeño
  14. Positive Mining from LLM Seeds: A Semi-Supervised Graph-Based Approach to Train Rare Event Classifiers
    Sasan Tavakkol, Lin Chen, Max Springer, Abigail Schantz, Blaž Bratanič, Vincent Cohen-Addad, Mohammadhossein Bateni
  15. Shapley-Value-Based Graph Sparsification for GNN Inference
    Selahattin Akkas, Ariful Azad
  16. Temporal Graph Neural Networks for NFT Valuation and Recommendation: A Multimodal Approach to Cold-Start and Market Dynamics
    Zichao Li
  17. RAW-Explainer: Post-hoc Explanations of Graph Neural Networks on Knowledge Graphs
    Ryoji Kubo, Djellel Difallah