ECNU-Text-Computing / H2CGLLinks
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction
☆17Updated 5 months ago
Alternatives and similar repositories for H2CGL
Users that are interested in H2CGL are comparing it to the libraries listed below
Sorting:
- ☆61Updated 3 years ago
- ☆22Updated last year
- ☆23Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆239Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆35Updated 10 months ago
- Codes for Pretraining Language Models with Text-Attributed Heterogeneous Graphs☆16Updated 2 years ago
- Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs, International Conference on Machine Learning (ICML), 2025☆14Updated 5 months ago
- The source code of SpCo☆34Updated 2 years ago
- ☆186Updated last year
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆162Updated last year
- Benchmark☆106Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- Paper List of Information Diffusion Prediction☆63Updated 3 years ago
- ☆131Updated 8 months ago
- Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction☆43Updated 2 years ago
- This is the official code release of the following paper: Hao Dong et al., Temporal Inductive Path Neural Network for Temporal Knowledge …☆28Updated last year
- ☆26Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆25Updated 3 years ago
- A list of Graph Causal Learning materials.☆205Updated 10 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆254Updated 7 months ago
- Dataset repository of our survey paper "A Survey of Datasets for Information Diffusion Tasks".☆26Updated 5 months ago
- ☆36Updated 4 years ago
- ☆26Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated last year
- TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.☆36Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆210Updated 11 months ago
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆66Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆310Updated 8 months ago
- ☆26Updated 2 years ago