yimingxu24 / CLDG
ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs
☆25Updated 3 months ago
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).☆68Updated 6 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆42Updated 4 months ago
- ☆16Updated 5 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- ☆19Updated 2 years ago
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆14Updated last year
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆53Updated 2 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆46Updated last year
- A curated list of papers on graph structure learning (GSL).☆46Updated 3 months ago
- Dynamic Graph Benchmark☆77Updated 2 years ago
- Multi-scale Information Diffusion Prediction with Sequential Hypergraphs☆12Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆34Updated 5 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆78Updated 4 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆42Updated 3 months ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- ☆43Updated 8 months ago
- ☆23Updated 11 months ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆45Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- An Empirical Evaluation of Temporal Graph Benchmark☆32Updated last year
- A Python library for graph reduction including condensation, coarsening, and sparsification.☆18Updated 2 weeks ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated last week
- ☆23Updated 4 months ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated 11 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆30Updated 5 months ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆20Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 10 months ago
- ☆60Updated 2 years ago
- ☆32Updated last year