← Authors

Shirui Pan

107 papers · 2013–2026 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (24) 🌈 Renaissance Researcher (11) 🏠 Conference Loyalist (22) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ† Keyword Champion (5) πŸ† Grand Slam πŸ”¬ Deep Specialist (36) πŸ—ƒοΈ Keyword Collector (65) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) ⚑ Prolific Year (11) ❓ The Questioner πŸ’Ž Century Club (103) πŸ“ˆ Trend Setter

Conferences

IJCAI (28) AAAI (25) ICML (16) NIPS (15) EMNLP (6) ICLR (6) CVPR (4) ACL (3) CONLL (1) EACL (1) IJCNLP (1) UAI (1)

Top co-authors

Chuan Zhou (14) Yixin Liu (9) Miao Zhang (8) YIZHEN ZHENG (7) Ming Jin (7) Chengqi Zhang (7) Jia Wu (6) Xin Zheng (6) Linhao Luo (5) Qin Zhang (5)

Research topics

Architectures (1) Privacy (1)

Keywords

graph neural network (33) node classification (18) contrastive learning (9) link prediction (8) large language model (7) graph embedding (7) graph representation learning (6) self-supervised learning (6) neural architecture search (6) representation learning (6) unsupervised learning (6) reinforcement learning (5) out-of-distribution detection (4) knowledge graph (4) semi-supervised learning (4) variational inference (4) graph transformer (3) node representation (3) model compression (3) adversarial learning (3)

Papers

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
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time AAAI 2026
Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation AAAI 2026
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
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
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models IJCAI 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
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025
Graph Sparsification via Mixture of Graphs ICLR 2025
Towards Neural Scaling Laws for Time Series Foundation Models ICLR 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models IJCAI 2025
Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025
Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs IJCAI 2025
Test-Time Graph Neural Dataset Search With Generative Projection ICML 2025
A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection AAAI 2025
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025
Unsupervised Deep Graph Structure and Embedding Learning 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
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation IJCAI 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models IJCAI 2024
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection IJCAI 2024
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023
Neighbor Contrastive Learning on Learnable Graph Augmentation AAAI 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023
Towards Self-Interpretable Graph-Level Anomaly Detection NIPS 2023
Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data NIPS 2023
Simple and Efficient Heterogeneous Graph Neural Network AAAI 2023
A Minimal Approach for Natural Language Action Space in Text-based Games EMNLP 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels NIPS 2023
A Minimal Approach for Natural Language Action Space in Text-based Games CONLL 2023
Shrinking Embeddings for Hyper-Relational Knowledge Graphs ACL 2023
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection CVPR 2022
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract) AAAI 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022
Multi-Graph Fusion Networks for Urban Region Embedding IJCAI 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning IJCAI 2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022
Exploring Relational Semantics for Inductive Knowledge Graph Completion AAAI 2022
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games ACL 2022
Pseudo-Riemannian Graph Convolutional Networks NIPS 2022
Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation CVPR 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
How Far are We from Robust Long Abstractive Summarization? EMNLP 2022
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients ICML 2021
Medical Code Assignment with Gated Convolution and Note-Code Interaction ACL 2021
Medical Code Assignment with Gated Convolution and Note-Code Interaction IJCNLP 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NIPS 2021
Leveraging Information Bottleneck for Scientific Document Summarization EMNLP 2021
A Relation-Specific Attention Network for Joint Entity and Relation Extraction IJCAI 2020
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020
Graph Geometry Interaction Learning NIPS 2020
GSSNN: Graph Smoothing Splines Neural Networks AAAI 2020
Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020
Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline EMNLP 2020
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement NIPS 2020
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning IJCAI 2020
One-Shot Neural Architecture Search via Novelty Driven Sampling IJCAI 2020
Label Embedding with Partial Heterogeneous Contexts AAAI 2019
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
Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018
Discrete Network Embedding IJCAI 2018
Active Discriminative Network Representation Learning 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