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2026 顶会论文

一作ICML 2026Poster· Deep Learning / Graph Neural Networks

GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks

Dongxiao He · Wenxuan Sun · Yongqi Huang · Jitao Zhao · Di Jin

数据与预训练OpenReview

作者位次 #4/5ICML 2026Poster· Deep Learning / Graph Neural Networks

Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph Learning

Zhizhi Yu · Jiachen Liu · Qingyu Li · Dongxiao He · Di Jin

OpenReview

作者位次 #5/5ICML 2026Poster· Deep Learning / Graph Neural Networks

Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing

Lianze Shan · Ningchong Wang · Jitao Zhao · Di Jin · Dongxiao He

OpenReview

一作ICML 2026Poster

A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs

Dongxiao He · AnKang Yang · Jitao Zhao · Di Jin

对齐与偏好多模态OpenReview

作者位次 #3/7KDD 2026Oral· Knowledge Discovery & Data Mining

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding

Chundong Liang · Yongqi Huang · Dongxiao He · Peiyuan Li · Yawen Li · Di Jin · Weixiong Zhang

数据与预训练检索与知识代码OpenReview

作者位次 #3/6AAAI 2026Poster· Artificial Intelligence

DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks

Cuiying Huo · Xiaotong Huang · Dongxiao He · Yixuan Du · Wenhuan Lu · Di Jin

强化学习与后训练检索与知识OpenReview

作者位次 #5/5AAAI 2026Poster· Artificial Intelligence

Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment

Di Jin · Haotian Zhao · Xiaobao Wang · Fengyu Yan · Dongxiao He

社会与人本OpenReview

作者位次 #3/6AAAI 2026Poster· Artificial Intelligence

MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training

Lianze Shan · Jitao Zhao · Dongxiao He · Yongqi Huang · Zhiyong Feng · Weixiong Zhang

数据与预训练OpenReview

作者位次 #5/5AAAI 2026Poster· Artificial Intelligence

Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning

Fengyu Yan · Di Jin · Xiaobao Wang · Qianhua Tang · Dongxiao He

OpenReview

Dongxiao He

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2026 顶会论文

GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks

Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph Learning

Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing

A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding

DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks

Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment

MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training

Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning

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