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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

An Attention-Based Graph Neural Network for Heterogeneous Structural Learning AAAI 2020
Fast and Deep Graph Neural Networks AAAI 2020
Convolutional Kernel Networks for Graph-Structured Data ICML 2020
Graph Filtration Learning ICML 2020
Learning Algebraic Multigrid Using Graph Neural Networks ICML 2020
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020
Exponential Family Graph Embeddings AAAI 2020
A Multi-Scale Approach for Graph Link Prediction AAAI 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020
Kriging Convolutional Networks AAAI 2020
Learning to Simulate Complex Physics with Graph Networks ICML 2020
Multi-Agent Routing Value Iteration Network ICML 2020
Graph Representations for Higher-Order Logic and Theorem Proving AAAI 2020
Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks AAAI 2020
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection AAAI 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks NIPS 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies NIPS 2020
GCN meets GPU: Decoupling “When to Sample” from “How to Sample” NIPS 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks NIPS 2020
Graph Few-Shot Learning via Knowledge Transfer AAAI 2020
DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020
GSSNN: Graph Smoothing Splines Neural Networks AAAI 2020
Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation AAAI 2020