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Graph Neural Networks

4,495 papers

Papers per year

Papers

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling AAAI 2023
Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees AAAI 2023
Scalable Attributed-Graph Subspace Clustering AAAI 2023
SigMaNet: One Laplacian to Rule Them All AAAI 2023
Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder AAAI 2023
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting AAAI 2023
Interpolating Graph Pair to Regularize Graph Classification AAAI 2023
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition AAAI 2023
Self-Supervised Bidirectional Learning for Graph Matching AAAI 2023
Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning AAAI 2023
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting AAAI 2023
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs AAAI 2023
Learning Topology-Specific Experts for Molecular Property Prediction AAAI 2023
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters AAAI 2023
LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling AAAI 2023
A Data Source for Reasoning Embodied Agents AAAI 2023
I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs AAAI 2023
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning AAAI 2023
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks AAAI 2023