Search Results for author: Yuhao Yang

Found 16 papers, 13 papers with code

HiGPT: Heterogeneous Graph Language Model

1 code implementation25 Feb 2024 Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang

However, existing frameworks for heterogeneous graph learning have limitations in generalizing across diverse heterogeneous graph datasets.

Graph Learning Language Modelling +1

DiffKG: Knowledge Graph Diffusion Model for Recommendation

1 code implementation28 Dec 2023 Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang

To bridge this research gap, we propose a novel knowledge graph diffusion model for recommendation, referred to as DiffKG.

Data Augmentation Graph Representation Learning +2

GraphPro: Graph Pre-training and Prompt Learning for Recommendation

2 code implementations28 Nov 2023 Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang

The temporal prompt mechanism encodes time information on user-item interaction, allowing the model to naturally capture temporal context, while the graph-structural prompt learning mechanism enables the transfer of pre-trained knowledge to adapt to behavior dynamics without the need for continuous incremental training.

GraphGPT: Graph Instruction Tuning for Large Language Models

1 code implementation19 Oct 2023 Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang

In this work, we present the GraphGPT framework that aligns LLMs with graph structural knowledge with a graph instruction tuning paradigm.

Data Augmentation Graph Learning +2

Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction

no code implementations16 Aug 2023 Yuhao Yang, Jun Wu, Yue Wang, Guangjian Zhang, Rong Xiong

Traditional geometric registration based estimation methods only exploit the CAD model implicitly, which leads to their dependence on observation quality and deficiency to occlusion.

6D Pose Estimation using RGB

SSLRec: A Self-Supervised Learning Framework for Recommendation

1 code implementation10 Aug 2023 Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang

Our SSLRec platform covers a comprehensive set of state-of-the-art SSL-enhanced recommendation models across different scenarios, enabling researchers to evaluate these cutting-edge models and drive further innovation in the field.

Collaborative Filtering Data Augmentation +2

Knowledge Graph Self-Supervised Rationalization for Recommendation

1 code implementation6 Jul 2023 Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang

By masking important knowledge with high rational scores, KGRec is trained to rebuild and highlight useful knowledge connections that serve as rationales.

Contrastive Learning Graph Learning +1

HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level

1 code implementation ACL 2023 Haoran Luo, Haihong E, Yuhao Yang, Yikai Guo, Mingzhi Sun, Tianyu Yao, Zichen Tang, Kaiyang Wan, Meina Song, Wei Lin

The global-level attention can model the graphical structure of HKG using hypergraph dual-attention layers, while the local-level attention can learn the sequential structure inside H-Facts via heterogeneous self-attention layers.

Attribute Knowledge Graphs +1

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

1 code implementation12 Jul 2022 Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li

Further ablation studies validate the effectiveness of our model design and benefits of the new MBHT framework.

Sequential Recommendation

Knowledge Graph Contrastive Learning for Recommendation

1 code implementation2 May 2022 Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li

However, the success of such methods relies on the high quality knowledge graphs, and may not learn quality representations with two challenges: i) The long-tail distribution of entities results in sparse supervision signals for KG-enhanced item representation; ii) Real-world knowledge graphs are often noisy and contain topic-irrelevant connections between items and entities.

Contrastive Learning General Knowledge +3

Eventor: An Efficient Event-Based Monocular Multi-View Stereo Accelerator on FPGA Platform

no code implementations29 Mar 2022 Mingjun Li, Jianlei Yang, Yingjie Qi, Meng Dong, Yuhao Yang, Runze Liu, Weitao Pan, Bei Yu, Weisheng Zhao

In this paper, Eventor is proposed as a fast and efficient EMVS accelerator by realizing the most critical and time-consuming stages including event back-projection and volumetric ray-counting on FPGA.

Quantization

BigDL: A Distributed Deep Learning Framework for Big Data

1 code implementation16 Apr 2018 Jason Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song

This paper presents BigDL (a distributed deep learning framework for Apache Spark), which has been used by a variety of users in the industry for building deep learning applications on production big data platforms.

Fraud Detection Management +1

Learning Social Circles in Ego Networks based on Multi-View Social Graphs

no code implementations16 Jul 2016 Chao Lan, Yuhao Yang, Xiao-Li Li, Bo Luo, Jun Huan

Based on extensive automatic and manual experimental evaluations, we deliver two major findings: first, multi-view clustering techniques perform better than common single-view clustering techniques, which only use one view or naively integrate all views for detection, second, the standard multi-view clustering technique is less robust than our modified technique, which selectively transfers information across views based on an assumption that sparse network structures are (potentially) incomplete.

Clustering

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