Graph Neural Networks
Neural networks on graph-structured data
Top Papers
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks, Can Rager, Eric Michaud et al.
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain et al.
MogaNet: Multi-order Gated Aggregation Network
Siyuan Li, Zedong Wang, Zicheng Liu et al.
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Yucheng Wang, Yuecong Xu, Jianfei Yang et al.
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
Xiang Chen, Jinshan Pan, Jiangxin Dong
GraphRouter: A Graph-based Router for LLM Selections
Tao Feng, Yanzhen Shen, Jiaxuan You
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
Haoran Ye, Jiarui Wang, Helan Liang et al.
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li, Yuxuan Chen, Hongbo Chu et al.
Deep Temporal Graph Clustering
Meng Liu, Yue Liu, KE LIANG et al.
Grokking as the transition from lazy to rich training dynamics
Tanishq Kumar, Blake Bordelon, Samuel Gershman et al.
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
Marc Rußwurm, Konstantin Klemmer, Esther Rolf et al.
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
Xingtong Yu, Yuan Fang, Zemin Liu et al.
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
Yufei Guo, Yuanpei Chen, Xiaode Liu et al.
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
Devikalyan Das, Christopher Wewer, Raza Yunus et al.
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
Bingheng Li, Erlin Pan, Zhao Kang
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
Bencheng Liao, Shaoyu Chen, Bo Jiang et al.
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
Shu Yin, Peican Zhu, Lianwei Wu et al.
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Miltiadis (Miltos) Kofinas, Boris Knyazev, Yan Zhang et al.
Local Search GFlowNets
Minsu Kim, Yun Taeyoung, Emmanuel Bengio et al.
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
Yatin Dandi, Florent Krzakala, Bruno Loureiro et al.
Attribute-Missing Graph Clustering Network
Wenxuan Tu, Renxiang Guan, Sihang Zhou et al.
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
Nimesh Agrawal, Anuj Sirohi, Sandeep Kumar et al.
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
Jingyu Chen, Runlin Lei, Zhewei Wei
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh, Dongyoung Lim, Sungil Kim
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
Xinyu Shi, Jianhao Ding, Zecheng Hao et al.
Neural Redshift: Random Networks are not Random Functions
Damien Teney, Armand Nicolicioiu, Valentin Hartmann et al.
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
Cheng Yang, Jixi Liu, Yunhe Yan et al.
Revisiting Link Prediction: a data perspective
Haitao Mao, Juanhui Li, Harry Shomer et al.
Provably Powerful Graph Neural Networks for Directed Multigraphs
Beni Egressy, Luc von Niederhäusern, Jovan Blanuša et al.
Explaining Generalization Power of a DNN Using Interactive Concepts
Huilin Zhou, Hao Zhang, Huiqi Deng et al.
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
Tianrui Jia, Haoyang Li, Cheng Yang et al.
Graph-Aware Contrasting for Multivariate Time-Series Classification
Yucheng Wang, Yuecong Xu, Jianfei Yang et al.
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang, Xiang Tao, Qiang Liu et al.
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
Mulin Chen, Bocheng Wang, Xuelong Li
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen, Jose Frias, Yulia Gel
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
Nan Yin, Mengzhu Wang, Mengzhu Wang et al.
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Shaobo Wang, Yicun Yang, Zhiyuan Liu et al.
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
Gianluca Scarpellini, Stefano Fiorini, Francesco Giuliari et al.
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
Hancheng Min, Enrique Mallada, Rene Vidal
A Generalized Neural Diffusion Framework on Graphs
10011 Yibo Li, Xiao Wang, Hongrui Liu et al.
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
Ming Li, Yongchun Gu, Yi Wang et al.
Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang, Yujie Zeng, Qiang Wu et al.
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Li Sun, Zhenhao Huang, Zixi Wang et al.
Efficient and Scalable Graph Generation through Iterative Local Expansion
Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin et al.
ASGO: Adaptive Structured Gradient Optimization
Kang An, Yuxing Liu, Rui Pan et al.
HyperFast: Instant Classification for Tabular Data
David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto et al.
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian, Andrei Manolache, Kareem Ahmed et al.
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
Ziming Wang, Ziling Wang, Huaning Li et al.
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Weigang Lu, Ziyu Guan, Wei Zhao et al.
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
Ce Zhang, Simon Stepputtis, Joseph Campbell et al.
ICLR: In-Context Learning of Representations
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana et al.
SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation
Changsheng Lv, Mengshi Qi, Xia Li et al.
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clementine Domine, Nicolas Anguita, Alexandra M Proca et al.
Graph Contrastive Invariant Learning from the Causal Perspective
9672 Yanhu Mo, Xiao Wang, Shaohua Fan et al.
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
Xinshun Wang, Qiongjie Cui, Chen Chen et al.
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
Luzhi Wang, Di Jin, He Zhang et al.
Hyper-Connections
Defa Zhu, Hongzhi Huang, Zihao Huang et al.
Multi-Level Neural Scene Graphs for Dynamic Urban Environments
Tobias Fischer, Lorenzo Porzi, Samuel Rota Bulò et al.
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
Antonis Antoniades, Yiyi Yu, Joe Canzano et al.
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert et al.
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica, Henrik Christiansen, Viktor Zaverkin et al.
A Rainbow in Deep Network Black Boxes
Florentin Guth, Brice Ménard, Gaspar Rochette et al.
E(n) Equivariant Topological Neural Networks
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec et al.
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen, Till Schulz, Karsten Borgwardt
Efficient Subgraph GNNs by Learning Effective Selection Policies
Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom et al.
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
Fu Luo, Xi Lin, Yaoxin Wu et al.
A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection
Junjun Pan, Yixin Liu, Xin Zheng et al.
Spectral-Based Graph Neutral Networks for Complementary Item Recommendation
Haitong Luo, Xuying Meng, Suhang Wang et al.
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga et al.
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
Wei Fang, Yuxing Tang, Heng Guo et al.
Graph Sparsification via Mixture of Graphs
Guibin Zhang, Xiangguo SUN, Yanwei Yue et al.
Mirage: Model-agnostic Graph Distillation for Graph Classification
Mridul Gupta, Sahil Manchanda, HARIPRASAD KODAMANA et al.
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
Jing Wang, Songhe Feng, Gengyu Lyu et al.
Quadratic models for understanding catapult dynamics of neural networks
Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan et al.
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Qiyu Kang, Kai Zhao, Qinxu Ding et al.
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
Haisong Gong, Weizhi Xu, Shu Wu et al.
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
Matthew Kowal, Richard P. Wildes, Kosta Derpanis
Tensorized Label Learning on Anchor Graph
Jing Li, Quanxue Gao, Qianqian Wang et al.
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
Xu Zheng, Farhad Shirani, Tianchun Wang et al.
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
Lanlan Chen, Kai Wu, Jian Lou et al.
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Fenfang Tao, Guo-Sen Xie, Fang Zhao et al.
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
Sarp Aykent, Tian Xia
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
Yuguang Yan, Yuanlin Chen, Shibo Wang et al.
HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors
Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou et al.
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li, Yingyi Chen, Xuanlong Yu et al.
Online GNN Evaluation Under Test-time Graph Distribution Shifts
Xin Zheng, Dongjin Song, Qingsong Wen et al.
RelGNN: Composite Message Passing for Relational Deep Learning
Tianlang Chen, Charilaos Kanatsoulis, Jure Leskovec
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos Kanatsoulis, Evelyn Choi, Stefanie Jegelka et al.
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Yankai Chen, Yixiang Fang, Qiongyan Wang et al.
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Shengxiang Hu, Guobing Zou, Song Yang et al.
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
Haixin Wang, Jiaxin Li, Anubhav Dwivedi et al.
ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics
Junchao Zhu, Ruining Deng, Tianyuan Yao et al.
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan et al.
Full Bayesian Significance Testing via Neural Networks
Zehua Liu, Zimeng Li, Jingyuan Wang et al.
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
JIEWEN YANG, Yiqun Lin, Bin Pu et al.
SketchINR: A First Look into Sketches as Implicit Neural Representations
Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury et al.
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.
Neural Causal Abstractions
Kevin Xia, Elias Bareinboim