← Authors

Dongxiao He

50 papers · 2016–2026 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸƒ Academic Marathon (9) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (33) πŸ”¬ Deep Specialist (29) πŸ† Keyword Champion (3) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (186) πŸ’Ž Century Club (46) πŸ”₯ Unstoppable (8)

Conferences

AAAI (23) IJCAI (20) NIPS (5) ICML (1) NAACL (1)

Top co-authors

Di Jin (36) Xiaobao Wang (12) Weixiong Zhang (11) Zhiyong Feng (11) Zhizhi Yu (11) Yuxiao Huang (8) Zhen Wang (8) Liang Yang (7) Jitao Zhao (6) Meng Ge (6)

Keywords

graph neural network (26) representation learning (13) node classification (8) graph representation learning (6) contrastive learning (6) self-supervised learning (6) network embedding (5) node representation (5) graph convolutional network (5) community detection (5) unsupervised learning (5) markov random field (5) graph contrastive learning (4) graph representation (4) link prediction (3) fake news detection (3) message passing (3) adversarial learning (3) mutual information (3) neighbor aggregation (3)

Papers

MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training AAAI 2026
Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning AAAI 2026
DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks AAAI 2026
Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment AAAI 2026
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 2025
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective IJCAI 2025
Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content AAAI 2025
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion AAAI 2025
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025
Contrastive Representation for Interactive Recommendation AAAI 2025
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025
Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting AAAI 2025
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025
Attribute Association Driven Multi-Task Learning for Session-based Recommendation IJCAI 2025
Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs IJCAI 2025
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems IJCAI 2025
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection IJCAI 2025
Generalized Taxonomy-Guided Graph Neural Networks IJCAI 2024
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning AAAI 2024
Improving Distinguishability of Class for Graph Neural Networks AAAI 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs NIPS 2024
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features NIPS 2024
Multi-Modal Sarcasm Detection Based on Dual Generative Processes IJCAI 2024
Joint Domain Adaptive Graph Convolutional Network IJCAI 2024
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily IJCAI 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NIPS 2024
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning AAAI 2024
A Generalized Deep Markov Random Fields Framework for Fake News Detection IJCAI 2023
Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation AAAI 2023
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily AAAI 2022
OPEN: Orthogonal Propagation with Ego-Network Modeling NIPS 2022
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing AAAI 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network IJCAI 2022
Block Modeling-Guided Graph Convolutional Neural Networks AAAI 2022
Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021
Universal Graph Convolutional Networks NIPS 2021
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization NAACL 2021
Adversarial Mutual Information Learning for Network Embedding IJCAI 2020
Community-Centric Graph Convolutional Network for Unsupervised Community Detection IJCAI 2020
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks IJCAI 2019
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks AAAI 2019
Incorporating Network Embedding into Markov Random Field for Better Community Detection AAAI 2019
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph IJCAI 2019
Integrative Network Embedding via Deep Joint Reconstruction IJCAI 2018
Modularity Based Community Detection with Deep Learning IJCAI 2016