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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Improving Graph Contrastive Learning via Adaptive Positive Sampling CVPR 2024
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network CVPR 2024
Compositional Video Understanding with Spatiotemporal Structure-based Transformers CVPR 2024
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping CVPR 2024
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective CVPR 2024
Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification EMNLP 2024
Comparing Edge-based and Node-based Methods on a Citation Prediction Task EMNLP 2024
NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach ACL 2024
TIGFORMER at TextGraphs-17 Shared Task: A Late Interaction Method for text and Graph Representations in KBQA Classification Task ACL 2024
nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet ACL 2024
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning ACL 2024
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024
VISPool: Enhancing Transformer Encoders with Vector Visibility Graph Neural Networks ACL 2024
DHMConv: Directed Hypergraph Momentum Convolution Framework AISTATS 2024
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024
E(3)-Equivariant Mesh Neural Networks AISTATS 2024
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024
A Neural Architecture Predictor based on GNN-Enhanced Transformer AISTATS 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks AISTATS 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers AISTATS 2024
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs AISTATS 2024
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach AISTATS 2024
DE-HNN: An effective neural model for Circuit Netlist representation AISTATS 2024
Tensor-view Topological Graph Neural Network AISTATS 2024
BLIS-Net: Classifying and Analyzing Signals on Graphs AISTATS 2024