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awesome-few-shot-gnn

An index of algorithms for few-shot learning on graphs

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-incremental-learning

Awesome Incremental Learning

awesome-papers-fewshot

Collection for Few-shot Learning

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

cbm_nlp

Pytorch Implementation of PAKDD 2024 [Oral] -- Interpreting Pretrained Language Models via Concept Bottlenecks

compgcn

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

contrastive-learning-papers-codes

A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.

cse-472-project-2

deep-reinforcement-learning-for-recommender-systems

DRL for RecSys papers

gfcil

Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

gnnpapers

Must-read papers on graph neural networks (GNN)

gpn

Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks

graph-based-outlier-detection

gtbench

GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

kge

Awesome Knowledge Graph Embedding (KGE)

kge-1

LibKGE - A knowledge graph embedding library for reproducible research

kge-iclr20

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

llm4annotation

meta-gnn

meta-learning-papers

A classified list of meta learning papers based on realm.

rspapers

A Curated List of Must-read Papers on Recommender System.

sacn

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

sparsecbm

Pytorch Implementation of AAAI 2024 -- Sparsity-guided Holistic Explanation for LLMs with Interpretable Inference-time Intervention

spotlight

Deep recommender models using PyTorch.

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

the-wolf-within