Recipe for a General, Powerful, Scalable Graph Transformer

25 May 2022

Ladislav Rampášek

Mikhail Galkin

Vijay Prakash Dwivedi

A. Luu

Guy Wolf

Dominique Beaini

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Papers citing "Recipe for a General, Powerful, Scalable Graph Transformer"

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Bridging Geometric States via Geometric Diffusion Bridge Shengjie Luo Yixian Xu Di He Shuxin Zheng Tie-Yan Liu Liwei Wang 27 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 27 0 0 31 Oct 2024
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting Zhiwei Zhang Shaojun E Fandong Meng Jie Zhou Wenjuan Han 29 0 0 30 Oct 2024
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning Haitz Sáez de Ocáriz Borde Artem Lukoianov Anastasis Kratsios Michael M. Bronstein Xiaowen Dong GNN 33 1 0 29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 31 0 0 29 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 22 0 0 25 Oct 2024
Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 30 1 0 24 Oct 2024
Graph Transformers Dream of Electric Flow Xiang Cheng Lawrence Carin S. Sra 19 0 0 22 Oct 2024
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing Zhichao Wang Xinhai Chen Chunye Gong Bo Yang Liang Deng Yufei Sun Yufei Pang Jie Liu AI4CE 18 0 0 19 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 21 2 0 17 Oct 2024
ChatHouseDiffusion: Prompt-Guided Generation and Editing of Floor Plans Sizhong Qin Chengyu He Qiaoyun Chen Sen Yang Wenjie Liao Yi Gu Xinzheng Lu 21 0 0 15 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification Jiajun Zhou Xuanze Chen Chenxuan Xie Yu Shanqing Qi Xuan Xiaoniu Yang 16 0 0 15 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 26 1 0 15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 27 0 0 13 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 11 1 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 24 1 0 09 Oct 2024
Accelerating Error Correction Code Transformers Matan Levy Yoni Choukroun Lior Wolf MQ 16 0 0 08 Oct 2024
LightRAG: Simple and Fast Retrieval-Augmented Generation Zirui Guo Lianghao Xia Yanhua Yu Tu Ao Chao Huang 47 11 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 25 1 0 07 Oct 2024
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring Taewon Kim Hyunjin Seo Sungsoo Ahn Eunho Yang AI4CE 16 1 0 04 Oct 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS GNN 37 0 0 01 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 18 0 0 28 Sep 2024
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion Jiaxing Xu Mengcheng Lan Xia Dong Kai He Wei Zhang Qingtian Bian Yiping Ke 23 3 0 28 Sep 2024
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice Viet Anh Nguyen Nhat-Khang Ngô Truong Son-Hy AI4CE 17 0 0 27 Sep 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim Marc Lafon Raphael Fournier SÑiehotta Nicolas Thome 18 0 0 26 Sep 2024
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes Ziquan Wei Tingting Dan Jiaqi Ding Guorong Wu MedIm 26 0 0 26 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning Junnan Liu Qianren Mao Weifeng Jiang Jianxin Li 28 0 0 19 Sep 2024
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification Jiaxing Xu Kai He Mengcheng Lan Qingtian Bian Wei Li Tieying Li Yiping Ke Miao Qiao MedIm 11 0 0 17 Sep 2024
Efficient Training of Transformers for Molecule Property Prediction on Small-scale Datasets Shivesh Prakash 25 0 0 07 Sep 2024
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks Amirhossein Nouranizadeh Fatemeh Tabatabaei Far Mohammad Rahmati AI4TS 17 1 0 22 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 28 0 0 13 Aug 2024
LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library Tianhao Yu Cai Yao Zhuorui Sun Feng Shi Lin Zhang ... Xicheng Zhang Jiali Zou Wenshou Wang C. Lai Kai Wang 18 3 0 12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 34 0 0 11 Aug 2024
SAMSA: Efficient Transformer for Many Data Modalities Minh Lenhat Viet Anh Nguyen Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 33 0 0 10 Aug 2024
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech Khai Le-Duc Quy-Anh Dang Tan-Hanh Pham Truong Son-Hy 18 0 0 08 Aug 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 21 2 0 30 Jul 2024
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 27 2 0 28 Jul 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning Xi Chen Yun Xiong Siwei Zhang Jiawei Zhang Yao Zhang Shiyang Zhou Xixi Wu Mingyang Zhang Tengfei Liu Weiqiang Wang AI4CE 20 0 0 26 Jul 2024
GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment Generalization Austin Patel Shuran Song LM&Ro 14 2 0 20 Jul 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer Jiahong Ma Mingguo He Zhewei Wei 30 1 0 19 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Peng Sun Zeke Wang Yonggang Wen Tianwei Zhang GNN 28 1 0 19 Jul 2024
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs Shenyang Huang Farimah Poursafaei Reihaneh Rabbany Guillaume Rabusseau Emanuele Rossi 23 2 0 17 Jul 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification Jakub Adamczyk Wojciech Czech 22 1 0 16 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 28 1 0 16 Jul 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 26 1 0 16 Jul 2024
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks Zhenhua Huang Kunhao Li Shaojie Wang Zhaohong Jia Wentao Zhu Sharad Mehrotra GNN 25 0 0 16 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 33 1 0 15 Jul 2024
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li Kaixuan Chen Shunyu Liu Tongya Zheng Wenjie Huang Mingli Song 25 0 0 13 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 29 9 0 13 Jul 2024
Robust Generalization of Graph Neural Networks for Carrier Scheduling Daniel F. Perez-Ramirez Carlos Pérez-Penichet N. Tsiftes Dejan Kostić Magnus Boman Thiemo Voigt 15 0 0 11 Jul 2024