Shirui Pan

CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems ACL 2026 Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time AAAI 2026 GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation AAAI 2026 Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing EACL 2026 Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation AAAI 2026 Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection ACL 2026 BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks ACL 2026 Graph Sparsification via Mixture of Graphs ICLR 2025 Towards Neural Scaling Laws for Time Series Foundation Models ICLR 2025 Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning EMNLP 2025 Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems EMNLP 2025 A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection AAAI 2025 Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025 Test-Time Graph Neural Dataset Search With Generative Projection ICML 2025 Conformal Anomaly Detection in Event Sequences ICML 2025 N2GON: Neural Networks for Graph-of-Net with Position Awareness ICML 2025 Equivalence is All: A Unified View for Self-supervised Graph Learning ICML 2025 Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models ICML 2025 Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification ICML 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting ICML 2025 Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective ICML 2025 BiMark: Unbiased Multilayer Watermarking for Large Language Models ICML 2025 M^2LLM: Multi-view Molecular Representation Learning with Large Language Models IJCAI 2025 T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models IJCAI 2025 Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs IJCAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025 Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning AAAI 2025 Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment AAAI 2025 TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs AAAI 2025 Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025 CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection IJCAI 2024 Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning NIPS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024 ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NIPS 2024 Uncovering the Redundancy in Graph Self-supervised Learning Models NIPS 2024 Augmented Commonsense Knowledge for Remote Object Grounding AAAI 2024 NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning AAAI 2024 ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024 Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024 Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning ICLR 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024 Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024 Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs ICML 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness ICML 2024 Gradformer: Graph Transformer with Exponential Decay IJCAI 2024 Unsupervised Deep Graph Structure and Embedding Learning IJCAI 2024 Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation IJCAI 2024 FedPFT: Federated Proxy Fine-Tuning of Foundation Models IJCAI 2024 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023 Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 A Minimal Approach for Natural Language Action Space in Text-based Games EMNLP 2023 A Minimal Approach for Natural Language Action Space in Text-based Games CONLL 2023 Shrinking Embeddings for Hyper-Relational Knowledge Graphs ACL 2023 Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data NIPS 2023 Towards Self-Interpretable Graph-Level Anomaly Detection NIPS 2023 GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels NIPS 2023 G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023 Simple and Efficient Heterogeneous Graph Neural Network AAAI 2023 Neighbor Contrastive Learning on Learnable Graph Augmentation AAAI 2023 CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning IJCAI 2022 Multi-Graph Fusion Networks for Urban Region Embedding IJCAI 2022 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022 Pseudo-Riemannian Graph Convolutional Networks NIPS 2022 Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NIPS 2022 Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination NIPS 2022 Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract) AAAI 2022 Exploring Relational Semantics for Inductive Knowledge Graph Completion AAAI 2022 Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games ACL 2022 How Far are We from Robust Long Abstractive Summarization? EMNLP 2022 A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection CVPR 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation CVPR 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022 iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients ICML 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NIPS 2021 Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021 Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021 Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021 Medical Code Assignment with Gated Convolution and Note-Code Interaction ACL 2021 Leveraging Information Bottleneck for Scientific Document Summarization EMNLP 2021 Medical Code Assignment with Gated Convolution and Note-Code Interaction IJCNLP 2021 Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline EMNLP 2020 GSSNN: Graph Smoothing Splines Neural Networks AAAI 2020 Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020 Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning IJCAI 2020 One-Shot Neural Architecture Search via Novelty Driven Sampling IJCAI 2020 A Relation-Specific Attention Network for Joint Entity and Relation Extraction IJCAI 2020 Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020 Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement NIPS 2020 Graph Geometry Interaction Learning NIPS 2020 Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020 Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020 Low-Bit Quantization for Attributed Network Representation Learning IJCAI 2019 Attributed Graph Clustering: A Deep Attentional Embedding Approach IJCAI 2019 Graph WaveNet for Deep Spatial-Temporal Graph Modeling IJCAI 2019 Label Embedding with Partial Heterogeneous Contexts AAAI 2019 Discrete Network Embedding IJCAI 2018 Active Discriminative Network Representation Learning IJCAI 2018 Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018 Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering IJCAI 2016 Tri-Party Deep Network Representation IJCAI 2016 Multi-Graph-View Learning for Complicated Object Classification IJCAI 2015 Graph Classification with Imbalanced Class Distributions and Noise IJCAI 2013