← Authors

Chuan Shi

55 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌈 Renaissance Researcher (9) 🧭 Keyword Pioneer 🏠 Conference Loyalist (23) 🀝 Dynamic Duo (22) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (29) πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer ⚑ Prolific Year (7) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (229) πŸ“ˆ Trend Setter πŸ’Ž Century Club (54)

Conferences

AAAI (24) IJCAI (9) NIPS (9) ACL (3) IJCNLP (3) EMNLP (2) ICML (2) NAACL (2) ICLR (1)

Top co-authors

Xiao Wang (22) Cheng Yang (15) Deyu Bo (6) Linmei Hu (6) Ruijia Wang (5) Tianchi Yang (4) Guojie Song (4) Shaohua Fan (4) Yuan Fang (4) Luhao Zhang (4)

Research topics

Privacy (2) Differential Privacy (1)

Keywords

graph neural network (30) representation learning (10) heterogeneous graph (9) attention mechanism (7) heterogeneous information network (7) self-supervised learning (7) graph contrastive learning (6) node classification (6) node representation (6) collaborative filtering (5) graph augmentation (4) semi-supervised learning (4) graph representation learning (4) graph convolutional network (3) graph representation (3) network embedding (3) knowledge graph (3) link prediction (3) graph classification (3) contrastive learning (3)

Papers

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
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer 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
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
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
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
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning AAAI 2023
Graph Contrastive Learning with Stable and Scalable Spectral Encoding NIPS 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023
Provable Training for Graph Contrastive Learning NIPS 2023
Specformer: Spectral Graph Neural Networks Meet Transformers ICLR 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NIPS 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
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks AAAI 2021
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge ACL 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
FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020
Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020
Decorrelated Clustering with Data Selection Bias IJCAI 2020
Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020
GraLSP: Graph Neural Networks with Local Structural Patterns AAAI 2020
Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020
Hyperbolic Heterogeneous Information Network Embedding AAAI 2019
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
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
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding EMNLP 2019
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow IJCAI 2019
NeuCast: Seasonal Neural Forecast of Power Grid Time Series IJCAI 2018
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks IJCAI 2018