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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining IJCAI 2025
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation IJCAI 2025
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance IJCAI 2025
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction IJCAI 2025
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models IJCAI 2025
Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation IJCAI 2025
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience AAAI 2025
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data IJCAI 2025
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs ACL 2025
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment IJCAI 2025
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation AAAI 2025
TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference IJCAI 2025
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning AAAI 2025
Core Knowledge Learning Framework for Graph AAAI 2025
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting IJCAI 2025
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges CVPR 2025
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025
FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network IJCAI 2025
DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning IJCAI 2025
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025
RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning EMNLP 2025
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding IJCAI 2024
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval IJCAI 2024