Do Transformers Really Perform Bad for Graph Representation?

9 June 2021

Tianle Cai

Papers citing "Do Transformers Really Perform Bad for Graph Representation?"

21 / 21 papers shown

Title
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 22 0 0 04 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 20 0 0 02 May 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 58 1 0 03 Jan 2025
ChemDFM-X: Towards Large Multimodal Model for Chemistry Zihan Zhao B. Chen Jingpiao Li Lu Chen Liyang Wen ... Ziping Wan Yansi Li Zhongyang Dai Xin Chen Kai Yu AI4CE 35 3 0 03 Jan 2025
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction Luhui Cai Weiming Zeng Hongyu Chen Hua Zhang Yueyang Li Hongjie Yan Lingbin Bian Lingbin Bian Wai Ting Siok Nizhuan Wang MedIm 27 3 0 20 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 14 10 0 31 May 2024
Improving Chinese Character Representation with Formation Tree Yang Hong Yinfei Li Xiaojun Qiao Rui Li Junsong Zhang VLM 22 0 0 19 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 14 7 0 04 Apr 2024
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study Osman Alperen Koras Jorg Schlotterer Christin Seifert 16 1 0 05 Mar 2024
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 34 6 0 10 Oct 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network Akihiro Kishimoto Hiroshi Kajino Masataka Hirose Junta Fuchiwaki Indra Priyadarsini Lisa Hamada Hajime Shinohara D. Nakano Seiji Takeda AI4CE 14 4 0 28 Sep 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 11 30 0 31 Aug 2023
CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery Abhijit Gupta 9 0 0 03 Jul 2023
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 12 2 0 07 Jun 2023
TableFormer: Robust Transformer Modeling for Table-Text Encoding Jingfeng Yang Aditya Gupta Shyam Upadhyay Luheng He Rahul Goel Shachi Paul LMTD 15 112 0 01 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 10 106 0 01 Mar 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 39 74 0 30 Jan 2022
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Mingli Song Junsong Yuan Dacheng Tao GNN 130 94 0 10 Jan 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 169 1,157 0 03 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 173 907 0 02 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 200 430 0 25 Sep 2019