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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

On The Temporal Domain of Differential Equation Inspired Graph Neural Networks AISTATS 2024
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion AAAI 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NIPS 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification AAAI 2024
RSMPNet: Relationship Guided Semantic Map Prediction WACV 2024
A Neural Architecture Predictor based on GNN-Enhanced Transformer AISTATS 2024
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables AAAI 2024
Graph Neural Networks for End-to-End Information Extraction From Handwritten Documents WACV 2024
Link Prediction for Flow-Driven Spatial Networks WACV 2024
Improving Graph Networks Through Selection-Based Convolution WACV 2024
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-Ray Classification WACV 2024
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024
GraphFill: Deep Image Inpainting Using Graphs WACV 2024
Contrastive Viewpoint-Aware Shape Learning for Long-Term Person Re-Identification WACV 2024
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning From Videos WACV 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting WACV 2024
E(3)-Equivariant Mesh Neural Networks AISTATS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation AAAI 2024
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding WACV 2024
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation WACV 2024
Context-Based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting WACV 2024
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NIPS 2024
Residual Hyperbolic Graph Convolution Networks AAAI 2024