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Heterogeneous Graph Transformer

Heterogeneous Graph Transformer

3 March 2020
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
ArXivPDFHTML

Papers citing "Heterogeneous Graph Transformer"

50 / 431 papers shown
Title
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection
Haokai Zhang
Shengtao Zhang
Zijian Cai
Heng Wang
Ruixuan Zhu
Zinan Zeng
Minnan Luo
43
0
0
24 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li
Haobing Liu
Jianpeng Qi
Yuan Cao
Guoqing Chao
Yanwei Yu
GNN
49
0
0
22 Apr 2025
Particle Hit Clustering and Identification Using Point Set Transformers in Liquid Argon Time Projection Chambers
Particle Hit Clustering and Identification Using Point Set Transformers in Liquid Argon Time Projection Chambers
Edgar E. Robles
A. Yankelevich
Wenjie Wu
J. Bian
Pierre Baldi
21
0
0
11 Apr 2025
A Reproducibility Study of Graph-Based Legal Case Retrieval
A Reproducibility Study of Graph-Based Legal Case Retrieval
Gregor Donabauer
Udo Kruschwitz
AILaw
26
0
0
11 Apr 2025
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
Zulun Zhu
Tiancheng Huang
Kai Wang
Junda Ye
X. Chen
Siqiang Luo
3DV
32
0
0
08 Apr 2025
Graph Attention for Heterogeneous Graphs with Positional Encoding
Graph Attention for Heterogeneous Graphs with Positional Encoding
Nikhil Shivakumar Nayak
GNN
51
0
0
03 Apr 2025
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
Gongzhu Yin
H. Zhang
Yuchen Yang
Y. Luo
LRM
68
0
0
26 Mar 2025
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
Rochana Chaturvedi
Peyman Baghershahi
Sourav Medya
Barbara Di Eugenio
41
0
0
23 Mar 2025
Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization
Haojia Zhu
Jiahui Jin
Dong Kan
Rouxi Shen
Ruize Wang
Xiangguo Sun
Jinghui Zhang
57
0
0
11 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes
Qi Wu
Yingguang Yang
Hao Liu
Hao Peng
Buyun He
Yutong Xia
Yong Liao
AAML
56
0
0
11 Mar 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
Keyue Jiang
Bohan Tang
Xiaowen Dong
Laura Toni
34
0
0
11 Mar 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
Tianyi Ma
Y. Qian
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
22
0
0
28 Feb 2025
Predicting Cascade Failures in Interdependent Urban Infrastructure Networks
Yinzhou Tang
J. Piao
Huandong Wang
Shaw Rajib
Yong Li
AI4CE
34
0
0
26 Feb 2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
33
0
0
23 Feb 2025
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Xuqi Mao
Z. Chen
Zhenying He
Yinan Jing
Kai Zhang
Xiaotao Wang
30
2
0
22 Feb 2025
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
28
1
0
22 Feb 2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
Yang Gao
Hong Yang
Y. Chen
Junxian Wu
Peng Zhang
Haishuai Wang
36
0
0
12 Feb 2025
RelGNN: Composite Message Passing for Relational Deep Learning
RelGNN: Composite Message Passing for Relational Deep Learning
Tianlang Chen
Charilaos I. Kanatsoulis
Jure Leskovec
GNN
AI4CE
41
1
0
10 Feb 2025
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
Shengda Zhuo
Jiwang Fang
Hongguang Lin
Yin Tang
Min Chen
Changdong Wang
Shuqiang Huang
43
0
0
04 Feb 2025
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
Q. Zhu
Liang Zhang
Qianxiong Xu
Cheng Long
40
1
0
22 Jan 2025
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
Shengming Zhang
Le Zhang
Jingbo Zhou
Hui Xiong
26
0
0
06 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model
DiffGraph: Heterogeneous Graph Diffusion Model
Zongwei Li
Lianghao Xia
Hua Hua
Shijie Zhang
Shuangyang Wang
C. Huang
21
0
0
04 Jan 2025
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Tiehua Zhang
Yuze Liu
Zhishu Shen
Xingjun Ma
Xin Chen
Xiaowei Huang
Jun-Jian Yin
41
6
0
31 Dec 2024
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph
  Backdoor Attacks with Subgraph Triggers Pool
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
Jiangtong Li
Dungy Liu
Dawei Cheng
Changchun Jiang
AAML
29
0
0
23 Dec 2024
GraphAgent: Agentic Graph Language Assistant
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang
J. Tang
Lianghao Xia
Xingchen Zou
Yuxuan Liang
Chao Huang
LM&Ro
76
1
0
22 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph
  Attention Networks
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
Siddharth Ambekar
Yuhang Yao
Ryan Li
Carlee Joe-Wong
FedML
73
0
0
20 Dec 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral
  Clustering Perspective
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
Yujie Mo
Zhihe Lu
Runpeng Yu
Xiaofeng Zhu
Xinchao Wang
64
0
0
01 Dec 2024
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via
  Reinforcement Learning
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning
Yuze Liu
Tingjie Liu
Tiehua Zhang
Youhua Xia
Jinze Wang
Zhishu Shen
Jiong Jin
Fei Richard Yu
59
0
0
19 Nov 2024
Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
Jongmin Park
Seunghoon Han
Jong-Ryul Lee
Sungsu Lim
31
0
0
18 Nov 2024
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph
  Representation Learning
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning
Ao Liu
Jing Chen
Ruiying Du
Cong Wu
Yebo Feng
Teng Li
Jianfeng Ma
31
0
0
11 Nov 2024
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks
  with Dual Adapters
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
Yujie Mo
Runpeng Yu
Xiaofeng Zhu
Xinchao Wang
31
0
0
02 Nov 2024
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A
  Contrastive Method
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method
Yu Tai
Xinglong Wu
Hongwei Yang
Hui He
Duanjing Chen
Yuanming Shao
Weizhe Zhang
21
0
0
01 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models
  with augmented graph embeddings
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
Ashkan Golgoon
Ryan Franks
Khashayar Filom
Arjun Ravi Kannan
21
0
0
01 Nov 2024
InLINE: Inner-Layer Information Exchange for Multi-task Learning on
  Heterogeneous Graphs
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs
Xinyue Feng
Jinquan Hang
Yuequn Zhang
Haotian Wang
Desheng Zhang
Guang Wang
24
0
0
29 Oct 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural
  Networks
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
Yuntian He
Pranav Maneriker
Anutam Srinivasan
Aditya T. Vadlamani
Srinivasan Parthasarathy
23
0
0
28 Oct 2024
A Heterogeneous Network-based Contrastive Learning Approach for
  Predicting Drug-Target Interaction
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
J. Hu
Michael Bewong
Selasi Kwashie
Wen Zhang
Vincent M. Nofong
Guangsheng Wu
Zaiwen Feng
16
0
0
20 Oct 2024
Heterogeneous Graph Generation: A Hierarchical Approach using Node
  Feature Pooling
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
Hritaban Ghosh
Chen Changyu
Arunesh Sinha
Shamik Sural
19
0
0
15 Oct 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning
  Perspective
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective
Jintang Li
Ruofan Wu
Yuchang Zhu
Huizhe Zhang
Xinzhou Jin
Guibin Zhang
Zulun Zhu
Zibin Zheng
Liang Chen
SSL
22
0
0
14 Oct 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System
  Modeling
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
Zijie Huang
Wanjia Zhao
Jingdong Gao
Ziniu Hu
Xiao Luo
Yadi Cao
Yuanzhou Chen
Yizhou Sun
Wei Wang
PINN
AI4CE
22
0
0
08 Oct 2024
Modeling Social Media Recommendation Impacts Using Academic Networks: A
  Graph Neural Network Approach
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
Sabrina Guidotti
Gregor Donabauer
Simone Somazzi
Udo Kruschwitz
D. Taibi
D. Ognibene
25
0
0
06 Oct 2024
GraphRouter: A Graph-based Router for LLM Selections
GraphRouter: A Graph-based Router for LLM Selections
Tao Feng
Yanzhen Shen
Jiaxuan You
26
9
0
04 Oct 2024
GATher: Graph Attention Based Predictions of Gene-Disease Links
GATher: Graph Attention Based Predictions of Gene-Disease Links
David Narganes-Carlon
Anniek Myatt
Mani Mudaliar
Daniel J. Crowther
27
0
0
23 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic
  Graph Learning
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
Qincheng Lu
Jiaqi Zhu
Sitao Luan
Xiao-Wen Chang
18
2
0
15 Sep 2024
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for
  Heterogeneous Graphs
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs
Siqing Li
Jin-Duk Park
Wei Huang
Xin Cao
Won-Yong Shin
Zhiqiang Xu
19
0
0
10 Sep 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
Xunkai Li
Y. X. Zhu
Boyang Pang
Guochen Yan
Yeyu Yan
Zening Li
Zhengyu Wu
Wentao Zhang
Rong-Hua Li
Guoren Wang
FedML
18
1
0
29 Aug 2024
Explainable Hierarchical Urban Representation Learning for Commuting
  Flow Prediction
Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction
Mingfei Cai
Y. Pang
Y. Sekimoto
AI4TS
27
0
0
27 Aug 2024
AnyGraph: Graph Foundation Model in the Wild
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
20
0
0
20 Aug 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks
Heta: Distributed Training of Heterogeneous Graph Neural Networks
Yuchen Zhong
Junwei Su
Chuan Wu
Minjie Wang
18
0
0
19 Aug 2024
Multi-task Heterogeneous Graph Learning on Electronic Health Records
Multi-task Heterogeneous Graph Learning on Electronic Health Records
Tsai Hor Chan
Guosheng Yin
Kyongtae Bae
Lequan Yu
CML
18
0
0
14 Aug 2024
Urban Region Pre-training and Prompting: A Graph-based Approach
Urban Region Pre-training and Prompting: A Graph-based Approach
Jiahui Jin
Yifan Song
Dong Kan
Haojia Zhu
Xiangguo Sun
Zhicheng Li
Xigang Sun
Jinghui Zhang
AI4TS
AI4CE
24
1
0
12 Aug 2024
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