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Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
    GNN
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Papers citing "Graph Attention Networks"

50 / 3,094 papers shown
Title
Leveraging Brain Modularity Prior for Interpretable Representation
  Learning of fMRI
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
Qianqian Wang
Wei Wang
Yuqi Fang
P. Yap
Hongtu Zhu
Hong-jun Li
Lishan Qiao
Mingxia Liu
30
7
0
24 Jun 2023
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large
  Graphs
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs
Loc Hoang
Rita Brugarolas Brufau
Ke Ding
Bo Wu
GNN
35
2
0
23 Jun 2023
Efficient Model Selection for Predictive Pattern Mining Model by Safe
  Pattern Pruning
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning
Takumi Yoshida
Hiroyuki Hanada
K. Nakagawa
Kouichi Taji
Koji Tsuda
I. Takeuchi
TPM
30
2
0
23 Jun 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular
  Interaction Prediction
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction
Cong Shen
Pingjian Ding
Junjie Wee
Jialin Bi
Jiawei Luo
Kelin Xia
GNN
19
6
0
23 Jun 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with
  Dynamicity Support
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang
Zheng Yan
Jiahe Lan
Elisa Bertino
Witold Pedrycz
30
11
0
23 Jun 2023
Evolving Computation Graphs
Evolving Computation Graphs
Andreea Deac
Jian Tang
37
1
0
22 Jun 2023
A Semi-Autoregressive Graph Generative Model for Dependency Graph
  Parsing
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing
Ye Ma
Mingming Sun
P. Li
GNN
31
1
0
21 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
26
12
0
20 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph
  Representations
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu
Wen-Long Zhao
Chenxiao Yang
Hengrui Zhang
Fan Nie
Haitian Jiang
Yatao Bian
Junchi Yan
AI4CE
55
78
0
19 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks
Meta-Learning for Airflow Simulations with Graph Neural Networks
Wenzhuo Liu
Mouadh Yagoubi
Marc Schoenauer
AI4CE
34
0
0
18 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
39
23
0
16 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
26
24
0
16 Jun 2023
Kriging Convolutional Networks
Kriging Convolutional Networks
G. Appleby
Linfeng Liu
Liping Liu
27
61
0
15 Jun 2023
Hyperbolic Representation Learning: Revisiting and Advancing
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang
Min Zhou
Rex Ying
Yankai Chen
Irwin King
45
20
0
15 Jun 2023
Relational Temporal Graph Reasoning for Dual-task Dialogue Language
  Understanding
Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding
Bowen Xing
Ivor W. Tsang
48
13
0
15 Jun 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility
  Simulation
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Yu Wang
Tongya Zheng
Shunyu Liu
Zunlei Feng
Kaixuan Chen
Yunzhi Hao
Min-Gyoo Song
36
7
0
15 Jun 2023
Hyperbolic Convolution via Kernel Point Aggregation
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu
Dongmian Zou
58
3
0
15 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs
Uncertainty-Aware Robust Learning on Noisy Graphs
Shuyi Chen
Kaize Ding
Shixiang Zhu
29
5
0
14 Jun 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
Xuanzhou Liu
Lin Zhang
Jiaqi Sun
Yujiu Yang
Haiqing Yang
30
2
0
10 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph
  Neural Networks
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Donald Loveland
Jiong Zhu
Mark Heimann
Benjamin Fish
Michael T. Shaub
Danai Koutra
40
6
0
08 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and
  Benchmarks for Complex Graphs
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Zehui Li
Xiangyu Zhao
Mingzhu Shen
Guy-Bart Stan
Pietro Lio
Yiren Zhao
30
1
0
08 Jun 2023
Multi-level Protein Representation Learning for Blind Mutational Effect
  Prediction
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction
Y. Tan
Bingxin Zhou
Yuanhong Jiang
Yu Wang
Liang Hong
42
2
0
08 Jun 2023
Enabling tabular deep learning when $d \gg n$ with an auxiliary
  knowledge graph
Enabling tabular deep learning when d≫nd \gg nd≫n with an auxiliary knowledge graph
Camilo Ruiz
Hongyu Ren
Kexin Huang
J. Leskovec
33
2
0
07 Jun 2023
Vulnerable Smart Contract Function Locating Based on Multi-Relational
  Nested Graph Convolutional Network
Vulnerable Smart Contract Function Locating Based on Multi-Relational Nested Graph Convolutional Network
Haiyang Liu
Yuqi Fan
Lin Feng
Zhenchun Wei
21
9
0
07 Jun 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node
  Classification based on Multi-View Learning and Density Awareness
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness
Jianpeng Liao
Jun Yan
Qian Tao
25
1
0
07 Jun 2023
Origin-Destination Network Generation via Gravity-Guided GAN
Origin-Destination Network Generation via Gravity-Guided GAN
Can Rong
Huandong Wang
Yong Li
22
5
0
06 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking
  Folklore Weisfeiler-Lehman
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
Jiarui Feng
Lecheng Kong
Hao Liu
Dacheng Tao
Fuhai Li
Muhan Zhang
Yixin Chen
52
9
0
05 Jun 2023
Enhancing Language Representation with Constructional Information for
  Natural Language Understanding
Enhancing Language Representation with Constructional Information for Natural Language Understanding
Lvxiaowei Xu
Jian Wu
Jiawei Peng
Zhilin Gong
Ming Cai
Tianxiang Wang
28
3
0
05 Jun 2023
Clarify Confused Nodes via Separated Learning
Clarify Confused Nodes via Separated Learning
Jiajun Zhou
Sheng Gong
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
Xiaoniu Yang
91
3
0
04 Jun 2023
Centered Self-Attention Layers
Centered Self-Attention Layers
Ameen Ali
Tomer Galanti
Lior Wolf
56
6
0
02 Jun 2023
Federated Graph Learning for Low Probability of Detection in Wireless
  Ad-Hoc Networks
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
S. Krishnan
Jihong Park
S. Sagar
Gregory Sherman
Benjamin Campbell
Jinho Choi
23
4
0
01 Jun 2023
TOFG: A Unified and Fine-Grained Environment Representation in
  Autonomous Driving
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
Zihao Wen
Yifan Zhang
Xinhong Chen
Jianping Wang
35
1
0
31 May 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative
  Polynomials
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Mingguo He
Zhewei Wei
Shi Feng
Zhengjie Huang
Weibin Li
Yu Sun
Dianhai Yu
34
6
0
31 May 2023
Is Rewiring Actually Helpful in Graph Neural Networks?
Is Rewiring Actually Helpful in Graph Neural Networks?
Domenico Tortorella
Alessio Micheli
AI4CE
46
2
0
31 May 2023
Improving Expressivity of Graph Neural Networks using Localization
Improving Expressivity of Graph Neural Networks using Localization
Anant Kumar
Shrutimoy Das
Shubhajit Roy
Binita Maity
Anirban Dasgupta
35
0
0
31 May 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
41
30
0
31 May 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced
  Text-Attributed Graph Representation Learning
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He
Xavier Bresson
T. Laurent
Adam Perold
Yann LeCun
Bryan Hooi
35
73
0
31 May 2023
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
Alexander Shevtsov
D. Antonakaki
Ioannis Lamprou
Polyvios Pratikakis
Sotiris Ioannidis
28
0
0
31 May 2023
Knowledge Graph-Augmented Language Models for Knowledge-Grounded
  Dialogue Generation
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Minki Kang
Jin Myung Kwak
Jinheon Baek
Sung Ju Hwang
RALM
16
57
0
30 May 2023
Who Would be Interested in Services? An Entity Graph Learning System for
  User Targeting
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
Dan Yang
Binbin Hu
Xiaoyan Yang
Yue Shen
Qing Cui
Jinjie Gu
Guannan Zhang
32
4
0
30 May 2023
Graph Reasoning for Question Answering with Triplet Retrieval
Graph Reasoning for Question Answering with Triplet Retrieval
Shiyang Li
Yifan Gao
Hao Jiang
Qingyu Yin
Zheng Li
Xifeng Yan
Chao Zhang
Bing Yin
RALM
ReLM
18
29
0
30 May 2023
Revisiting Random Forests in a Comparative Evaluation of Graph
  Convolutional Neural Network Variants for Traffic Prediction
Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction
Ta Jiun Ting
Xiaocan Li
Scott Sanner
Baher Abdulhai
AI4TS
13
2
0
30 May 2023
Medical Dialogue Generation via Dual Flow Modeling
Medical Dialogue Generation via Dual Flow Modeling
Kaishuai Xu
Wenjun Hou
Yi Cheng
Jian Wang
Wenjie Li
MedIm
35
12
0
29 May 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph
  Anomaly Detection
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Hezhe Qiao
Guansong Pang
32
24
0
29 May 2023
Learning a Structural Causal Model for Intuition Reasoning in
  Conversation
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Hang Chen
Bingyu Liao
Jing Luo
Wenjing Zhu
Xinyu Yang
LRM
40
12
0
28 May 2023
Self-attention Dual Embedding for Graphs with Heterophily
Self-attention Dual Embedding for Graphs with Heterophily
Yurui Lai
Taiyan Zhang
Rui Fan
GNN
48
0
0
28 May 2023
Graph Inductive Biases in Transformers without Message Passing
Graph Inductive Biases in Transformers without Message Passing
Liheng Ma
Chen Lin
Derek Lim
Adriana Romero Soriano
P. Dokania
Mark Coates
Philip Torr
Ser-Nam Lim
AI4CE
42
85
0
27 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
Xinming Zhang
Jing Chen
BDL
50
7
0
26 May 2023
Graph Neural Convection-Diffusion with Heterophily
Graph Neural Convection-Diffusion with Heterophily
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
44
28
0
26 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known
  Features
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um
Jiwoong Park
Seulki Park
Jin Young Choi
DiffM
27
15
0
26 May 2023
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