- GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
- Classification of Edge-dependent Labels of Nodes in Hypergraphs
- Enhancing Graph Representations Learning with Decorrelated Propagation
- κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning
- PROSE: Graph Structure Learning via Progressive Strategy
- Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
- Learning Strong Graph Neural Networks with Weak Information
- Task-Equivariant Graph Few-shot Learning
- Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases
- Narrow the Input Mismatch in Deep Graph Neural Network Distillation
- Kernel Ridge Regression-Based Graph Dataset Distillation
- Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks
- Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
- Certified Edge Unlearning for Graph Neural Networks
- A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
- Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks
- Causal Effect Estimation on Hierarchical Spatial Graph Data
- GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
- CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
- Incremental Causal Graph Learning for Online Root Cause Analysis
- Shift-Robust Molecular Relational Learning with Causal Substructure
- Dual-view Molecular Pre-training
- Automated 3D Pre-Training for Molecular Property Prediction
- WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window
- DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph
- Community-based Dynamic Graph Learning for Popularity Prediction
- Reconstructing Graph Diffusion History from a Single Snapshot
- Generalizing Graph ODE for Learning Complex System Dynamics across Environments
- 3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
- Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities
- Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework
- Localised Adaptive Spatial-Temporal Graph Neural Network
- Frigate: Frugal Spatio-temporal Forecasting on Road Networks
- Graph Neural Processes for Spatio-Temporal Extrapolation
- Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
- On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness
- Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning
- Spatial Heterophily Aware Graph Neural Networks
- Multi-Temporal Relationship Inference in Urban Areas
- Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction
- Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
- A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields
- Clenshaw Graph Neural Networks
- On Structural Expressive Power of Graph Transformers
- MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
- Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
- Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective
- MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation
- B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning
- Similarity Preserving Adversarial Graph Contrastive Learning
- HomoGCL: Rethinking Homophily in Graph Contrastive Learning
- Contrastive Cross-scale Graph Knowledge Synergy
- Graph Contrastive Learning with Generative Adversarial Network
- What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
- Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation
- Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling
- Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks
- AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
- Context-aware Event Forecasting via Graph Disentanglement
- Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
- Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs
- Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
- Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation
- Multi-Grained Multimodal Interaction Network for Entity Linking
- CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval
- GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network
- Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree
- Rumor Detection with Diverse Counterfactual Evidence
- DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
- Leveraging Relational Graph Neural Network for Transductive Model Ensemble
- When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
- All in One: Multi-Task Prompting for Graph Neural Networks
- FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
- A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability
- Graph Neural Bandits
- E-commerce Search via Content Collaborative Graph Neural Network
- Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
- Knowledge Graph Self-Supervised Rationalization for Recommendation
- On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
- Meta Graph Learning for Long-tail Recommendation
- Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
- QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction
- Efficient and Effective Edge-wise Graph Representation Learning
- Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping
- Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks
- Augmenting Recurrent Graph Neural Networks with a Cache
- Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations
- CARL-G: Clustering-Accelerated Representation Learning on Graphs
- Semi-Supervised Graph Imbalanced Regression
- PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks
- EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation
- GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning