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2026 顶会论文

作者位次 #2/3ICLR 2026Poster· Deep Learning / Graph Neural Networks

Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models

Yunan Wang · Jianxin Li · Ziwei Zhang

推理OpenReview

作者位次 #7/8ICLR 2026Poster· Deep Learning / Graph Neural Networks

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs

Yisen Gao · Jiaxin Bai · Tianshi Zheng · Ziwei Zhang · Qingyun Sun · Xingcheng Fu · Jianxin Li · Yangqiu Song

推理检索与知识OpenReview

作者位次 #8/8SIGIR 2026Oral· Information Retrieval (Full)

Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment

Yuhang Liu · Minglai Shao · Zengyi Wo · Yunlong Chu · Bing Hao · Shengzhong Liu · Ruijie Wang · Jianxin Li

摘要

Pre-training graph foundation models (GFMs) on text-attributed graphs (TAGs) is important for web-scale retrieval and recommendation, where graph entities are matched with textual descriptions. Existing CLIP-style graph-text aligners typically assume one-to-one correspondence: each node is pulled...

多模态理论与学习动力学对齐与偏好OpenReview

作者位次 #3/5VLDB 2026Oral· Data Management (REG)

Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy

Jingyun Zhang · Hao Peng · Jianxin Li · Angsheng Li · Philip S. Yu

OpenReview

作者位次 #7/9KDD 2026Oral· Knowledge Discovery & Data Mining

Vistar: Enhancing the Perception Capability of LLMs under Imprecise IMU-Text Alignment

Yatong Chen · Chenzhi Hu · Bowen He · Ruijie Wang · Xiaomin OUYANG · Shengzhong Liu · Jianxin Li · Fan Wu · Guihai Chen

对齐与偏好检索与知识OpenReview

作者位次 #5/5KDD 2026Oral· Knowledge Discovery & Data Mining

Invariant Graph Transformer for Out-of-Distribution Generalization

Tianyin Liao · Ziwei Zhang · Yufei Sun · Chunyu Hu · Jianxin Li

检索与知识理论与学习动力学OpenReview

作者位次 #6/6KDD 2026Oral· Knowledge Discovery & Data Mining

LatentFlow: Discovering Latent Continuous Dynamics across Channels for Multivariate Time Series Anomaly Detection

Lijun SUN · Shuai Zhang · Xin Xue · lanhao li · Haoyi Zhou · Jianxin Li

检索与知识OpenReview

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

G 2 LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs

Yuhan Wang · Yibo Ding · Yutong Ye · Mufan Zhao · Wenbo Zhang · Ruijie Wang · Jianxin Li

效率与系统检索与知识OpenReview

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

From Compression to Exploration: Active Querying Agent for 3D Physical Field Understanding

Chonghan Gao · Haoyi Zhou · Zhemeng Luo · Shengkai Jin · Qian Yu · Tianyu Chen · Jianxin Li

智能体与工具效率与系统检索与知识OpenReview

作者位次 #6/7KDD 2026Oral· Knowledge Discovery & Data Mining

From Generic Intelligence to Personalized AI: A Tutorial on Foundations of LLM Personalization

Ruijie Wang · Qingkai Zeng · Xuefei Wang · Yutong Ye · Li Sun · Jianxin Li · Philip S. Yu

对齐与偏好检索与知识OpenReview

作者位次 #6/7KDD 2026Oral· Knowledge Discovery & Data Mining

2nd Workshop on Frontiers in Graph Machine Learning for the Large Model Era

Qingyun Sun · Ziwei Zhang · Xingcheng Fu · Lingjuan Lyu · Yangqiu Song · Jianxin Li · Philip S. Yu

检索与知识OpenReview

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

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks

Jiayi Luo · Qingyun Sun · Yuecen Wei · Haonan Yuan · Xingcheng Fu · Jianxin Li

安全效率与系统数据与预训练OpenReview

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

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning

Yi Huang · Qingyun Sun · Yisen Gao · Haonan Yuan · Xingcheng Fu · Jianxin Li

OpenReview

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

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models

Jiayi Luo · Qingyun Sun · Lingjuan Lyu · Ziwei Zhang · Haonan Yuan · Xingcheng Fu · Jianxin Li

安全OpenReview

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

Towards Long-window Anchoring in Vision-Language Model Distillation

Haoyi Zhou · Shuo Li · Tianyu Chen · Qi Song · Chonghan Gao · Jianxin Li

多模态强化学习与后训练OpenReview

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

Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty

ZEYU SHI · Ziming Wang · Tianyu Chen · Shiqi Gao · Haoyi Zhou · Qingyun Sun · Jianxin Li

强化学习与后训练效率与系统OpenReview

Jianxin Li

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2026 顶会论文

Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs

Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment

Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy

Vistar: Enhancing the Perception Capability of LLMs under Imprecise IMU-Text Alignment

Invariant Graph Transformer for Out-of-Distribution Generalization

LatentFlow: Discovering Latent Continuous Dynamics across Channels for Multivariate Time Series Anomaly Detection

G 2 LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs

From Compression to Exploration: Active Querying Agent for 3D Physical Field Understanding

From Generic Intelligence to Personalized AI: A Tutorial on Foundations of LLM Personalization

2nd Workshop on Frontiers in Graph Machine Learning for the Large Model Era

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models

Towards Long-window Anchoring in Vision-Language Model Distillation

Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty

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