Chuan Shi

MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing ACL 2026 PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths AAAI 2026 Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025 Exploring the Potential of Large Language Models for Heterophilic Graphs NAACL 2025 Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer AAAI 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025 Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction AAAI 2025 Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases ACL 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 A Generalized Neural Diffusion Framework on Graphs AAAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models NIPS 2024 Heterogeneous Graph Transformer with Poly-Tokenization IJCAI 2024 Less is More: on the Over-Globalizing Problem in Graph Transformers ICML 2024 Graph Distillation with Eigenbasis Matching ICML 2024 Specformer: Spectral Graph Neural Networks Meet Transformers ICLR 2023 Provable Training for Graph Contrastive Learning NIPS 2023 Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023 Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NIPS 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding NIPS 2023 MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning AAAI 2023 Directed Acyclic Graph Structure Learning from Dynamic Graphs AAAI 2023 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NIPS 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NIPS 2022 Uncovering the Structural Fairness in Graph Contrastive Learning NIPS 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022 Self-supervised Graph Neural Networks for Multi-behavior Recommendation IJCAI 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022 Learning to Pre-train Graph Neural Networks AAAI 2021 Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge ACL 2021 GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks AAAI 2021 Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021 Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce AAAI 2021 CuCo: Graph Representation with Curriculum Contrastive Learning IJCAI 2021 Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge IJCNLP 2021 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NIPS 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021 Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020 Decorrelated Clustering with Data Selection Bias IJCAI 2020 GraLSP: Graph Neural Networks with Local Structural Patterns AAAI 2020 Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020 FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020 Relation Structure-Aware Heterogeneous Information Network Embedding AAAI 2019 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism AAAI 2019 Hyperbolic Heterogeneous Information Network Embedding AAAI 2019 Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification EMNLP 2019 Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification IJCNLP 2019 Improving Distantly-Supervised Relation Extraction with Joint Label Embedding IJCNLP 2019 iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow IJCAI 2019 Improving Distantly-Supervised Relation Extraction with Joint Label Embedding EMNLP 2019 NeuCast: Seasonal Neural Forecast of Power Grid Time Series IJCAI 2018 Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks IJCAI 2018