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Graph Neural Networks

4,522 papers

Papers per year

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504
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Papers

Generalizing CNNs to graphs with learnable neighborhood quantization NIPS 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NIPS 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design NIPS 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NIPS 2024
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NIPS 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NIPS 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NIPS 2024
Continuous Product Graph Neural Networks NIPS 2024
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos NIPS 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks NIPS 2024
The Intelligible and Effective Graph Neural Additive Network NIPS 2024
On provable privacy vulnerabilities of graph representations NIPS 2024
Graph Learning for Numeric Planning NIPS 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs NIPS 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles NIPS 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks NIPS 2024
Learning from Highly Sparse Spatio-temporal Data NIPS 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NIPS 2024
ProG: A Graph Prompt Learning Benchmark NIPS 2024
Graph neural networks and non-commuting operators NIPS 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NIPS 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification NIPS 2024
Extracting Training Data from Molecular Pre-trained Models NIPS 2024
Uncovering the Redundancy in Graph Self-supervised Learning Models NIPS 2024