← Architectures
Deep Learning › Architectures ›

Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NIPS 2024
Even Sparser Graph Transformers NIPS 2024
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NIPS 2024
Continuous Product Graph Neural Networks NIPS 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks 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
Graph neural networks and non-commuting operators NIPS 2024
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction NIPS 2024
TopoFR: A Closer Look at Topology Alignment on Face Recognition NIPS 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
Equivariant Neural Diffusion for Molecule Generation NIPS 2024
Challenges of Generating Structurally Diverse Graphs NIPS 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs NIPS 2024
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images NIPS 2024
Federated Graph Learning for Cross-Domain Recommendation NIPS 2024
Improving Generalization of Dynamic Graph Learning via Environment Prompt NIPS 2024
Generating Highly Designable Proteins with Geometric Algebra Flow Matching NIPS 2024
Generalizing CNNs to graphs with learnable neighborhood quantization NIPS 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers 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
A probability contrastive learning framework for 3D molecular representation learning NIPS 2024
SpeAr: A Spectral Approach for Zero-Shot Node Classification NIPS 2024