How Powerful are Graph Neural Networks?

1 October 2018

Papers citing "How Powerful are Graph Neural Networks?"

50 / 1,116 papers shown

Title
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 52 0 0 11 Oct 2024
Structure-Centric Robust Monocular Depth Estimation via Knowledge Distillation Runze Chen Haiyong Luo Fang Zhao Jingze Yu Yupeng Jia Juan Wang Xuepeng Ma MDE 34 1 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 40 1 0 09 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 52 1 0 09 Oct 2024
Degree-Conscious Spiking Graph for Cross-Domain Adaptation Yingxu Wang Mengzhu Wang Siwei Liu Shangsong Liang Nan Yin James Kwok 31 3 0 09 Oct 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 38 0 0 04 Oct 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security Qianru Zhang Peng Yang Junliang Yu Haixin Wang Xingwei He S. Yiu Hongzhi Yin 41 0 0 03 Oct 2024
On Lexical Invariance on Multisets and Graphs Muhan Zhang 21 0 0 21 Sep 2024
Learning to Compare Hardware Designs for High-Level Synthesis Yunsheng Bai Atefeh Sohrabizadeh Zijian Ding Rongjian Liang Weikai Li Ding Wang Haoxing Ren Yizhou Sun Jason Cong 30 0 0 20 Sep 2024
Edge-Based Graph Component Pooling T. Snelleman B. M. Renting H. H. Hoos J. N. V. Rijn GNN 21 2 0 18 Sep 2024
A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 30 0 0 17 Sep 2024
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling Jesse van Remmerden Z. Bukhsh Yingqian Zhang OffRL OnRL 43 1 0 16 Sep 2024
Sequential Classification of Misinformation Daniel Toma Wasim Huleihel 30 0 0 07 Sep 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 42 0 0 06 Sep 2024
Learning Regularization for Graph Inverse Problems Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber GNN 34 0 0 19 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 35 0 0 13 Aug 2024
Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte BDL GNN 28 0 0 07 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 39 2 0 03 Aug 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 37 0 0 31 Jul 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 34 1 0 26 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 43 0 0 26 Jul 2024
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing Mounir Ghogho 35 0 0 21 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference Ayman Beghdadi Azeddine Beghdadi M. Ullah F. A. Cheikh Malik Mallem 26 1 0 19 Jul 2024
DeepGate3: Towards Scalable Circuit Representation Learning Zhengyuan Shi Ziyang Zheng Sadaf Khan Jianyuan Zhong Min Li Qiang Xu GNN AI4CE 36 8 0 15 Jul 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 77 6 0 12 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 33 1 0 10 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 31 3 0 09 Jul 2024
Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning Jakob Nyberg Pontus Johnson 35 1 0 08 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He Zhenyu Hou Yukuo Cen Feng He Xu Cheng Bryan Hooi AI4CE 29 3 0 04 Jul 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 42 1 0 02 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 59 0 0 01 Jul 2024
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images Zekang Yang Hong Liu Xiangdong Wang 24 1 0 30 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 65 42 0 26 Jun 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets Piotr Gaiñski Michał Koziarski Krzysztof Maziarz Marwin H. S. Segler Jacek Tabor Marek Śmieja 49 3 0 26 Jun 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 38 5 0 24 Jun 2024
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 39 1 0 22 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 20 0 21 Jun 2024
Efficient Graph Similarity Computation with Alignment Regularization Wei Zhuo Guang Tan 32 17 0 21 Jun 2024
Molecule Graph Networks with Many-body Equivariant Interactions Zetian Mao Jiawen Li Chen Liang Diptesh Das Masato Sumita Koji Tsuda Kelin Xia Koji Tsuda 35 1 0 19 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 34 0 0 11 Jun 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 40 1 0 11 Jun 2024
Logical Distillation of Graph Neural Networks Alexander Pluska Pascal Welke Thomas Gärtner Sagar Malhotra 26 0 0 11 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 48 0 0 11 Jun 2024
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence Soham Mukherjee Shreyas N. Samaga Cheng Xin Steve Oudot Tamal K. Dey 45 6 0 11 Jun 2024
Spatiotemporal Graph Neural Network Modelling Perfusion MRI Ruodan Yan Carola-Bibiane Schönlieb Chao Li 40 1 0 10 Jun 2024
Decision-focused Graph Neural Networks for Combinatorial Optimization Yang Liu Chuan Zhou Peng Zhang Shirui Pan Zhao Li Hongyang Chen GNN AI4CE 36 1 0 05 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 42 5 0 05 Jun 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 42 1 0 05 Jun 2024