fuxiaG / Information-Diffusion-Datasets
Dataset repository of our survey paper "A Survey of Datasets for Information Diffusion Tasks".
☆17Updated last month
Alternatives and similar repositories for Information-Diffusion-Datasets:
Users that are interested in Information-Diffusion-Datasets are comparing it to the libraries listed below
- PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction☆7Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 3 months ago
- ☆11Updated 7 months ago
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆13Updated last year
- code and data for Continuous-Time Graph Learning for Cascade Popularity Prediction, IJCAI 2023☆12Updated last year
- Data and code for "DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection" (KDD 2023)☆18Updated last year
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆21Updated last year
- TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.☆30Updated 3 months ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆35Updated 9 months ago
- [Neurips 2024] Disentangled Graph Homophily☆21Updated last month
- 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
- MMRA: Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation, ACM SIGIR Conference on Research and Development in Infor…☆19Updated 7 months ago
- ☆16Updated 4 months ago
- TKDE 2022. CCCL: Contrastive Cascade Graph Learning.☆37Updated 11 months ago
- Adversarial Robustness in Graph Neural Networks: A Hamiltonian Energy Conservation Approach☆13Updated 9 months ago
- TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"☆16Updated 3 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆36Updated last year
- The implementation for DropMessage.☆36Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆27Updated 8 months ago
- Implementation for the paper: BotDGT: Dynamicity-aware Social Network Bot Detection with Dynamic Graph Transformers.☆11Updated 5 months ago
- ☆19Updated 10 months ago
- Multi-scale Information Diffusion Prediction with Sequential Hypergraphs☆11Updated 10 months ago
- The code for the paper "BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts"☆21Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- ☆16Updated last month
- SI-HDGNN: Heterogeneous Dynamical Academic Network for Scientific Impact Propagation Learning☆20Updated 11 months ago
- PyGDA is a Python library for Graph Domain Adaptation☆23Updated 2 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆25Updated 6 months ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆22Updated 3 months ago
- ☆53Updated 3 months ago