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WWW 2024: New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
A collection of AWESOME things about Graph-Related LLMs.
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Mutual Information Neural Estimation in Pytorch
Graph Few-Shot Class-Incremental Learning via Prototype Representation
Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)
Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LaTeX Template for (Academic) CVs Following Dr. Karen's Rules
Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts" published in KDD'2019.
Neural Graph Collaborative Filtering, SIGIR2019
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Implementation of SurfCon model for Synonym Discovery on Privacy-Aware Clinical Data
Latex CV template built with Font Awesome.
Representation learning on large graphs using stochastic graph convolutions.
This is a dataset for fake news detection research
[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.