yimingxu24 / CLDGLinks
CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)
☆27Updated 9 months ago
Alternatives and similar repositories for CLDG
Users that are interested in CLDG are comparing it to the libraries listed below
Sorting:
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆77Updated 4 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆49Updated 9 months ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- An Empirical Evaluation of Temporal Graph Benchmark☆36Updated 2 years ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 8 months ago
- ☆48Updated last year
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Updated 8 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆62Updated 11 months ago
- ☆17Updated 2 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- ☆34Updated 2 years ago
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆15Updated last year
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆48Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆84Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- ☆136Updated last year
- A list of recent papers about Link Prediction.☆103Updated 3 weeks ago
- A Survey of Learning from Graphs with Heterophily☆148Updated 6 months ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 2 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 8 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆259Updated last year
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆21Updated 10 months ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆39Updated 2 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year