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Graph Neural Networks

1,141 papers

Papers per year

3
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134
173
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Papers

Graph Neural Networks Do Not Always Oversmooth NIPS 2024
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering NIPS 2024
Graph Convolutions Enrich the Self-Attention in Transformers! NIPS 2024
Taming the Long Tail in Human Mobility Prediction NIPS 2024
Deep Homomorphism Networks NIPS 2024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NIPS 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NIPS 2024
Learning on Large Graphs using Intersecting Communities NIPS 2024
Challenges of Generating Structurally Diverse Graphs NIPS 2024
Robust Offline Active Learning on Graphs NIPS 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs NIPS 2024
Gradient Rewiring for Editable Graph Neural Network Training NIPS 2024
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion NIPS 2024
UGC: Universal Graph Coarsening NIPS 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks NIPS 2024
$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes NIPS 2024
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NIPS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NIPS 2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction NIPS 2024
Are Graph Neural Networks Optimal Approximation Algorithms? NIPS 2024
Graph Edit Distance with General Costs Using Neural Set Divergence NIPS 2024
Domain Adaptation for Large-Vocabulary Object Detectors NIPS 2024
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval NIPS 2024
Relational Concept Bottleneck Models NIPS 2024