yimingxu24 / CLDG
ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs
☆24Updated last month
Alternatives and similar repositories for CLDG:
Users that are interested in CLDG are comparing it to the libraries listed below
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆63Updated 4 months ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆53Updated 2 years ago
- ☆16Updated 3 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆45Updated last year
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆15Updated 10 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated last month
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆13Updated last year
- ☆22Updated 9 months ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- ☆16Updated last month
- A curated list of papers on graph structure learning (GSL).☆42Updated last month
- An Empirical Evaluation of Temporal Graph Benchmark☆30Updated last year
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆45Updated 2 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 3 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 3 months ago
- Dynamic Graph Benchmark☆73Updated 2 years ago
- A curated list of papers on graph transfer learning (GTL).☆16Updated last year
- [Neurips 2024] Disentangled Graph Homophily☆21Updated 3 weeks ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆26Updated last week
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆106Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 2 months ago
- ☆32Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆55Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆24Updated 6 months ago
- The implementation for DropMessage.☆36Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆21Updated last year