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:
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆35Updated 9 months ago
- ☆186Updated last year
- Codes for Pretraining Language Models with Text-Attributed Heterogeneous Graphs☆16Updated 2 years ago
- GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks☆112Updated last year
- ☆60Updated 3 years ago
- The source code of SpCo☆34Updated 2 years ago
- ☆129Updated 7 months ago
- ☆63Updated 4 years ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆250Updated 6 months ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated last year
- ☆26Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆306Updated 8 months ago
- ☆21Updated last year
- ☆121Updated 2 years ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆161Updated last year
- ☆127Updated 2 years ago
- A list of recent papers about Link Prediction.☆110Updated 2 weeks ago
- Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation☆39Updated 3 years ago
- Must-read papers on graph foundation models (GFMs)☆349Updated 2 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆235Updated last year
- ☆47Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆64Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- 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
- ☆26Updated 2 years ago
- Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"☆97Updated last year
- 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
- ☆34Updated 2 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year