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Path-Augmented Graph Transformer Network

Path-Augmented Graph Transformer Network

29 May 2019
Benson Chen
Regina Barzilay
Tommi Jaakkola
    ViT
    GNN
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Papers citing "Path-Augmented Graph Transformer Network"

16 / 16 papers shown
Title
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie
Yue Zhao
38
0
0
02 Oct 2024
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte
  Formulation Design
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design
Boshen Zeng
Sian Chen
Xinxin Liu
Changhong Chen
Bin Deng
Xiaoxu Wang
Zhifeng Gao
Yuzhi Zhang
Weinan E
Linfeng Zhang
15
1
0
08 Jul 2024
Graph Scattering beyond Wavelet Shackles
Graph Scattering beyond Wavelet Shackles
Christian Koke
Gitta Kutyniok
24
4
0
26 Jan 2023
Open World Learning Graph Convolution for Latency Estimation in Routing
  Networks
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
Yifei Jin
Marios Daoutis
Sarunas Girdzijauskas
Aristides Gionis
13
1
0
08 Jul 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
27
2
0
15 May 2022
Rewiring with Positional Encodings for Graph Neural Networks
Rewiring with Positional Encodings for Graph Neural Networks
Rickard Brüel-Gabrielsson
Mikhail Yurochkin
Justin Solomon
AI4CE
25
32
0
29 Jan 2022
Permutation invariant graph-to-sequence model for template-free
  retrosynthesis and reaction prediction
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
Zhengkai Tu
Connor W. Coley
30
90
0
19 Oct 2021
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Fang Wu
Dragomir R. Radev
Huabin Xing
ViT
36
54
0
04 Oct 2021
Learning Attributed Graph Representations with Communicative Message
  Passing Transformer
Learning Attributed Graph Representations with Communicative Message Passing Transformer
Jianwen Chen
Shuangjia Zheng
Ying Song
Jiahua Rao
Yuedong Yang
30
46
0
19 Jul 2021
Do Transformers Really Perform Bad for Graph Representation?
Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying
Tianle Cai
Shengjie Luo
Shuxin Zheng
Guolin Ke
Di He
Yanming Shen
Tie-Yan Liu
GNN
33
433
0
09 Jun 2021
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular
  Property Prediction
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
AI4CE
37
389
0
19 Oct 2020
Distance Encoding: Design Provably More Powerful Neural Networks for
  Graph Representation Learning
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li
Yanbang Wang
Hongwei Wang
J. Leskovec
GNN
23
12
0
31 Aug 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
26
459
0
18 May 2020
Neural Message Passing on High Order Paths
Neural Message Passing on High Order Paths
Daniel Flam-Shepherd
Tony C Wu
Pascal Friederich
Alán Aspuru-Guzik
GNN
AI4CE
24
49
0
24 Feb 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
242
1,780
0
02 Mar 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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