Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
☆64Oct 22, 2023Updated 2 years ago
Alternatives and similar repositories for Dynamic-Temporal-Graph-Learning-Reading-List
Users that are interested in Dynamic-Temporal-Graph-Learning-Reading-List are comparing it to the libraries listed below
Sorting:
- ☆17Nov 7, 2024Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆288Sep 28, 2023Updated 2 years ago
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆702Jun 4, 2025Updated 9 months ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Dec 24, 2021Updated 4 years ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆234Nov 22, 2025Updated 3 months ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Nov 10, 2024Updated last year
- ☆22Oct 14, 2022Updated 3 years ago
- [IPDPS 2024] Adaptive neighbor sampling for temporal GNN☆16Feb 17, 2025Updated last year
- The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS☆26Jul 10, 2024Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆89May 19, 2025Updated 9 months ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Mar 3, 2022Updated 4 years ago
- Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"☆37May 9, 2024Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Nov 16, 2024Updated last year
- A TensorFlow implementation of GraphHeat☆16Jun 1, 2020Updated 5 years ago
- ☆144Nov 5, 2023Updated 2 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Jul 10, 2022Updated 3 years ago
- A PyTorch implementation of the paper https://arxiv.org/abs/1709.04875☆10Jul 22, 2020Updated 5 years ago
- ☆12Apr 2, 2025Updated 11 months ago
- [CVPR 2024] Official repository of ST_GT☆10Sep 15, 2024Updated last year
- ☆11Jan 28, 2023Updated 3 years ago
- Temporal Graph Benchmark project repo☆250Oct 6, 2025Updated 5 months ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 3 years ago
- [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks☆79Sep 27, 2023Updated 2 years ago
- Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …☆18Aug 8, 2023Updated 2 years ago
- A Dual-View Network For Imbalanced Fault Diagnosis of Rotating Machinery☆11Aug 29, 2023Updated 2 years ago
- Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree bias…☆15Aug 27, 2025Updated 6 months ago
- This github contains the implementation of the method proposed in MDGNN_BS paper☆12May 9, 2024Updated last year
- ☆25Jun 27, 2022Updated 3 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆49Sep 18, 2023Updated 2 years ago
- Egocentric Temporal Motifs Miner☆12Nov 9, 2021Updated 4 years ago
- Expressive diffeomorphic transformations based on the closed-form integration of continuous piecewise affine velocity functions.☆16Aug 9, 2023Updated 2 years ago
- This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]☆16Jul 17, 2024Updated last year
- Graph Neural Convection-Diffusion with Heterophily☆11May 29, 2023Updated 2 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Apr 24, 2023Updated 2 years ago
- Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning☆35Feb 24, 2023Updated 3 years ago
- CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)☆27Dec 18, 2024Updated last year
- My invited Keynote/Talk at Conferences, Universities, Companies, etc.☆14Dec 18, 2024Updated last year
- dmne is an algorithm to learn node representations from multi-network data.☆14Aug 1, 2018Updated 7 years ago