← Learning Types

Deep Learning › Learning Types ›

Graph Neural Networks

8 directly classified papers

Papers per year

Papers

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025

Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis NIPS 2023

Scientific Paper Extractive Summarization Enhanced by Citation Graphs EMNLP 2022

Pure Transformers are Powerful Graph Learners NIPS 2022

Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction ICCV 2021

Graph-Based Semi-Supervised Learning for Natural Language Understanding EMNLP 2019

Fusion with Diffusion for Robust Visual Tracking NIPS 2012