- Improving Distinguishability of Class for Graph Neural Networks
- Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs
- Learning to Approximate Adaptive Kernel Convolution on Graphs
- Continuous-Time Graph Representation with Sequential Survival Process
- Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
- A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
- Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
- Graph-Aware Contrasting for Multivariate Time-Series Classification
- MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
- GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
- CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
- Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
- Feature Transportation Improves Graph Neural Networks
- Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
- ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
- Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
- Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
- Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
- Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
- Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
- Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
- Hypergraph Neural Architecture Search
- HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors
- X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks
- A Generalized Neural Diffusion Framework on Graphs
- Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
- SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
- High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification
- Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
- Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration
- Multimodal Graph Neural Architecture Search under Distribution Shifts
- Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
- Data Augmented Graph Neural Networks for Personality Detection
- NodeMixup: Tackling Under-Reaching for Graph Neural Networks
- Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
- GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
- Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy
- GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
- Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition
- Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph
- PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
- Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds
- DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
- A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
- Structural Information Enhanced Graph Representation for Link Prediction
- Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
- Temporal Graph Contrastive Learning for Sequential Recommendation
- LGMRec: Local and Global Graph Learning for Multimodal Recommendation
- Spectral-Based Graph Neural Networks for Complementary Item Recommendation
- A Goal Interaction Graph Planning Framework for Conversational Recommendation
- Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
- Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
- LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
- Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
- No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
- FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
- Towards Fair Graph Federated Learning via Incentive Mechanisms
- Federated Graph Learning under Domain Shift with Generalizable Prototypes
- Self-Interpretable Graph Learning with Sufficient and Necessary Explanations
- Stratified GNN Explanations through Sufficient Expansion
- Factorized Explainer for Graph Neural Networks
- Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
- Union Subgraph Neural Networks
- Provably Powerful Graph Neural Networks for Directed Multigraphs
- Learning Domain-Independent Heuristics for Grounded and Lifted Planning
- Complete Neural Networks for Complete Euclidean Graphs
- Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
- Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
- Open-Set Graph Domain Adaptation via Separate Domain Alignment
- Rethinking Propagation for Unsupervised Graph Domain Adaptation
- TopoGCL: Topological Graph Contrastive Learning
- ReGCL: Rethinking Message Passing in Graph Contrastive Learning
- Deep Contrastive Graph Learning with Clustering-Oriented Guidance
- A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
- Improved Graph Contrastive Learning for Short Text Classification
- Patch-Wise Graph Contrastive Learning for Image Translation
- Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
- Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
- GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
- Graph Contrastive Invariant Learning from the Causal Perspective
- Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
- Rethinking Causal Relationships Learning in Graph Neural Networks
- Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series
- Attribute-Missing Graph Clustering Network
- DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
- Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
- Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
- Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
- SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
- Deep Incomplete Multi-View Learning Network with Insufficient Label Information
- Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
- Hyperbolic Graph Diffusion Model
- Residual Hyperbolic Graph Convolution Networks
- Poincar'e Differential Privacy for Hierarchy-Aware Graph Embedding
- Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
- A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
- Label Attentive Distillation for GNN-Based Graph Classification
- Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
- Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
- Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
- Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
- Robust Node Classification on Graph Data with Graph and Label Noise
- GLDL: Graph Label Distribution Learning
- ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
- Improving GNN Calibration with Discriminative Ability: Insights and Strategies
- Towards Effective and General Graph Unlearning via Mutual Evolution
- Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
- SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
- Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
- Graph Neural Networks with Soft Association between Topology and Attribute
- p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
- PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
- Kumaraswamy Wavelet for Heterophilic Scene Graph Generation
- SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network
- ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
- WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
- Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
- Barely Supervised Learning for Graph-Based Fraud Detection
- DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
- DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
- Cell Graph Transformer for Nuclei Classification
- Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
- Graph Neural Prompting with Large Language Models
- HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
- Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
- Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
- AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
- Learning to Reweight for Generalizable Graph Neural Network
- Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer
- A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction
- Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
- Sterling: Synergistic Representation Learning on Bipartite Graphs
- Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
- Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling
- An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
- CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
- ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
- StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
- MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
- Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
- R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion
- SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation
- KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
- KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
- KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
- LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
- Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
- Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion
- Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
- MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
- Graph Reasoning Transformers for Knowledge-Aware Question Answering
- Question Calibration and Multi-Hop Modeling for Temporal Question Answering
- Object Attribute Matters in Visual Question Answering
- BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
- Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search
- MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug--Drug Interaction Prediction
- Adaptive Graph Learning for Multimodal Conversational Emotion Detection
- G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection
- Dependency Structure-Enhanced Graph Attention Networks for Event Detection
- Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
- You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification
- TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis
- Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
- An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
- Coreference Graph Guidance for Mind-Map Generation
- Structural Entropy Based Graph Structure Learning for Node Classification
- Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
- Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
- Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers
- HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning
- A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation
- Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
- Span Graph Transformer for Document-Level Named Entity Recognition
- G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
- SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation
- Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation
- DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems
- Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
- Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
- Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
- Rethinking Graph Masked Autoencoders through Alignment and Uniformity
- ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
- GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
- DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
- Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning
- A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
- MGNet: Learning Correspondences via Multiple Graphs
- Graph Context Transformation Learning for Progressive Correspondence Pruning
- COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
- Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
- Learning to Pivot as a Smart Expert
- DOGE-Train: Discrete Optimization on GPU with End-to-End Training
- Graph of Thoughts: Solving Elaborate Problems with Large Language Models
- Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
- Expressive Multi-Agent Communication via Identity-Aware Learning
- Neural Reasoning about Agents' Goals, Preferences, and Actions
- Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
- ResMatch: Residual Attention Learning for Feature Matching
- Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
- Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
- A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
- PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
- TREE-G: Decision Trees Contesting Graph Neural Networks
- LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement
- A Graph Dynamics Prior for Relational Inference
- Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
- Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
- Commonsense for Zero-Shot Natural Language Video Localization
- Spatial-Semantic Collaborative Cropping for User Generated Content
- MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships