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2026 顶会论文

作者位次 #2/7ICML 2026Oral· Deep Learning / Graph Neural Networks

Towards Hierarchy–Uniformity Equilibrium: Recovering Semantic Depth in Hypergraph Contrastive Learning

Ruiting Zhao · Ming Li · Lixin Cui · Lu Bai · Feilong Cao · Ke Lv · Pietro Lió

OpenReview

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

H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning

Kaixuan Yao · Ting Guo · Feilong Cao · Ming Li

可解释性OpenReview

作者位次 #5/7ICML 2026Poster· Deep Learning / Graph Neural Networks

SFCLTA: Spectral Fusion Contrastive Learning with Topology-Adaptive Graph Augmentation

Zhuo Xu · Lu Bai · Jincheng Li · Lixin Cui · Ming Li · Hangyuan Du · Yue Wang

OpenReview

作者位次 #4/7ICML 2026Poster· Deep Learning / Graph Neural Networks

GI-GCN: Global Interacted Graph Convolutional Networks via Dominant Sets for Graph Classification

Lu Bai · Xinya Qin · Lixin Cui · Ming Li · Hangyuan Du · Ziyu Lyu · Xin Jin

OpenReview

作者位次 #3/7AAAI 2026Poster· Artificial Intelligence

HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs

Tingyi Cai · Yunliang Jiang · Ming Li · Changqin Huang · Yujie Fang · Chengling Gao · Zhonglong Zheng

OpenReview

一作AAAI 2026Poster· Artificial Intelligence

Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation

Ming Li · Zihao Yan · Yuting Chen · Lixin Cui · Lu Bai · Feilong Cao · Ke Lv · Zhao Li

OpenReview

一作AAAI 2026OralOutstanding Paper· Artificial Intelligence

High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks

Ming Li · Yujie Fang · Dongrui Shen · Han Feng · Xiaosheng Zhuang · Kelin Xia · Pietro Lió

理论与学习动力学OpenReview

一作AAAI 2026Poster· Artificial Intelligence

HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning

Ming Li · Zhanle Zhu · Xinyi Li · Lu Bai · Lixin Cui · Feilong Cao · Ke Lv

OpenReview

一作AAAI 2026Poster· Artificial Intelligence

Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction

Ming Li · Huiting Wang · Yuting Chen · Lu Bai · Lixin Cui · Feilong Cao · Ke Lv

OpenReview

一作AAAI 2026Poster· Artificial Intelligence

HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters

Ming Li · Ruiting Zhao · Zihao Yan · Lu Bai · Lixin Cui · Feilong Cao

OpenReview

一作AAAI 2026Poster· Artificial Intelligence

Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs

Ming Li · Yongqi Li · Yuting Chen · Feilong Cao · Ke Lv

OpenReview

一作AAAI 2026Poster· Artificial Intelligence

Permutation Equivariant Framelet-based Hypergraph Neural Networks

Ming Li · Yi Wang · Chengling Gao · Lu Bai · Yujie Fang · Xiaosheng Zhuang · Pietro Lió

OpenReview

作者位次 #4/8AAAI 2026Poster· Artificial Intelligence

SSHPool: The Separated Subgraph-based Hierarchical Pooling

Zhuo Xu · Lu Bai · Lixin Cui · Ming Li · Hangyuan Du · Ziyu Lyu · Yue Wang · Edwin R. Hancock

OpenReview

Ming Li

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2026 顶会论文

Towards Hierarchy–Uniformity Equilibrium: Recovering Semantic Depth in Hypergraph Contrastive Learning

H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning

SFCLTA: Spectral Fusion Contrastive Learning with Topology-Adaptive Graph Augmentation

GI-GCN: Global Interacted Graph Convolutional Networks via Dominant Sets for Graph Classification

HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs

Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation

High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks

HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning

Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction

HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters

Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs

Permutation Equivariant Framelet-based Hypergraph Neural Networks

SSHPool: The Separated Subgraph-based Hierarchical Pooling

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