Temporal Graph Learning
Temporal Graph Learning Reading Group
Spanners in Temporal Graphs
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
Boosting Relational Deep Learning with Pretrained Tabular Models
Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements
The Heterophilic Graph Learning Handbook
DyGMamba
Towards a Unified View of Snapshot and Even Based Models for Temporl Graphs
Reproducibility Study of: Explaining Temporal Graph Models
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
Towards Neural Scaling Laws on Graphs
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Interpreting Temporal Graph Neural Networks with Koopman Theory
Expressive Power of Temporal Message Passing
RELBENCH: A Benchmark for Deep Learning on Relational Databases
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Making Temporal Betweenness Computation Faster and Restless
Long Range Propagation on Continuous-Time Dynamic Graphs
Unifying Evolution, Explanation and Discernment:Generative Approach for Dynamic Graph Counterfactual
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
AnyGraph: Graph Foundation Model in the Wild
Graph Deep Learning for Time Series Forecasting
From Link Prediction to Frecasting: Information Loss in Batch-based Temporal Graph Learning
On the Generalization Capability of Temporal Graph Learning Algorithms
From Higher-Order Graph Structures to Link Prediction and Beyond
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
The Role of Egocentric Perspective in Temporal Networks
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models