Graph Neural Networks
1,211 papers
Papers per year
2
1
2
3
2
6
8
5
2
8
8
16
62
136
145
186
206
205
194
14
'10
'15
'20
'25
Papers
Dissecting the Failure of Invariant Learning on Graphs
NeurIPS 2024
DOGE-Train: Discrete Optimization on GPU with End-to-End Training
AAAI 2024
Domain Adaptation for Large-Vocabulary Object Detectors
NeurIPS 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
NeurIPS 2024
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
CVPR 2024
Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
IJCAI 2024
Dynamic Reactive Spiking Graph Neural Network
AAAI 2024
Embedded Feature Selection on Graph-Based Multi-View Clustering
AAAI 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
AAAI 2024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
NeurIPS 2024
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
AAAI 2024
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
IJCAI 2024
Error Detection in Egocentric Procedural Task Videos
CVPR 2024
Exploring the Role of Node Diversity in Directed Graph Representation Learning
IJCAI 2024
FairGT: A Fairness-aware Graph Transformer
IJCAI 2024
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
NeurIPS 2024
FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
CVPR 2024
Feature Transportation Improves Graph Neural Networks
AAAI 2024
FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity
ACML 2024
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach
AISTATS 2024
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
AAAI 2024
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
AAAI 2024
G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection
AAAI 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
AISTATS 2024
Generalizing CNNs to graphs with learnable neighborhood quantization
NeurIPS 2024