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Graph Neural Networks

1,141 papers

Papers per year

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Papers

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction NIPS 2021
Structure-Aware Random Fourier Kernel for Graphs NIPS 2021
EIGNN: Efficient Infinite-Depth Graph Neural Networks NIPS 2021
Decoupling the Depth and Scope of Graph Neural Networks NIPS 2021
Learning Graph Cellular Automata NIPS 2021
Rethinking Graph Transformers with Spectral Attention NIPS 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NIPS 2021
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks NIPS 2021
Adaptive Diffusion in Graph Neural Networks NIPS 2021
Learning Semantic Representations to Verify Hardware Designs NIPS 2021
Neural Trees for Learning on Graphs NIPS 2021
MagNet: A Neural Network for Directed Graphs NIPS 2021
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks AAAI 2021
Differentially Private Link Prediction with Protected Connections AAAI 2021
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application AAAI 2021
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization AAAI 2021
Hierarchical Graph Convolution Network for Traffic Forecasting AAAI 2021
SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021
GTA: Graph Truncated Attention for Retrosynthesis AAAI 2021
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction AAAI 2021
Very Important Person Localization in Unconstrained Conditions: A New Benchmark AAAI 2021
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition AAAI 2021
Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021
Graph Heterogeneous Multi-Relational Recommendation AAAI 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series AAAI 2021