Chuxu Zhang

Adaptive and Context-rich Generative Self-supervised Learning on Graphs AAAI 2026 AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering ACL 2026 Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026 MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference EACL 2026 NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering EACL 2026 Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs AAAI 2026 Beyond Message Passing: Neural Graph Pattern Machine ICML 2025 Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL 2025 Graph Neural Networks for Databases: A Survey IJCAI 2025 LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection ACL 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models ICML 2025 NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning ACL 2025 Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees ICML 2025 From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble ICML 2024 GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning UAI 2024 GFT: Graph Foundation Model with Transferable Tree Vocabulary NeurIPS 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization ICLR 2023 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023 Graph-based Molecular Representation Learning IJCAI 2023 Heterogeneous Graph Masked Autoencoders AAAI 2023 Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency ICLR 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning AAAI 2023 Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization ICLR 2023 Towards Societal Impact of AI AAAI 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification NeurIPS 2022 Few-Shot Learning on Graphs IJCAI 2022 Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering EMNLP 2022 Label-invariant Augmentation for Semi-Supervised Graph Classification NeurIPS 2022 Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks IJCAI 2022 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation IJCAI 2022 Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract) IJCAI 2022 SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection IJCAI 2021 Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media NeurIPS 2021 Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction IJCAI 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 Multi-Order Attentive Ranking Model for Sequential Recommendation AAAI 2019 Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference IJCAI 2018