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Graph Neural Network

Papers

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Showing 2051–2100 of 3598 papers

TitleStatusHype
Permutation Equivariant Graph Framelets for Heterophilous Graph LearningCode0
Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item—0
Barriers for the performance of graph neural networks (GNN) in discrete random structures. A comment on~schuetz2022combinatorial,angelini2023modern,schuetz2023reply—0
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand RecognitionCode0
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems—0
Semantic tradeoff for heterogeneous graph embedding—0
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features—0
Reconstructing Graph Diffusion History from a Single SnapshotCode0
SPGNN-API: A Transferable Graph Neural Network for Attack Paths Identification and Autonomous Mitigation—0
Catalysis distillation neural network for the few shot open catalyst challenge—0
Contrastive Hierarchical Discourse Graph for Scientific Document Summarization—0
Verifying the Smoothness of Graph Signals: A Graph Signal Processing Approach—0
Towards Semi-supervised Universal Graph Classification—0
Graph Neural Network for spatiotemporal data: methods and applications—0
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer GeneratorCode0
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs—0
Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution—0
Inferring Individual Direct Causal Effects Under Heterogeneous Peer InfluenceCode0
GVdoc: Graph-based Visual Document ClassificationCode0
TabGSL: Graph Structure Learning for Tabular Data Prediction—0
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion—0
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions GenerationCode0
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image ManipulationCode0
Editable Graph Neural Network for Node Classifications—0
Stochastic Unrolled Federated LearningCode0
On Structural Expressive Power of Graph Transformers—0
Sequential Graph Neural Networks for Source Code Vulnerability Identification—0
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous ComputingCode0
GATology for Linguistics: What Syntactic Dependencies It Knows—0
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs—0
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention—0
Instant Representation Learning for Recommendation over Large Dynamic GraphsCode0
PRODIGY: Enabling In-context Learning Over Graphs—0
Learning for Transductive Threshold Calibration in Open-World Recognition—0
Domain Generalization Deep Graph Transformation—0
GraphFC: Customs Fraud Detection with Label ScarcityCode0
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule GraphsCode0
Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain—0
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning—0
Optimality of Message-Passing Architectures for Sparse Graphs—0
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation—0
Inductive Graph Neural Networks for Moving Object Segmentation—0
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph EmbeddingsCode0
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction—0
Decoupled Graph Neural Networks for Large Dynamic GraphsCode0
Knowledge Soft Integration for Multimodal Recommendation—0
Graph Neural Network for Accurate and Low-complexity SAR ATR—0
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?—0
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training—0
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified