HELL-TO-HEAVEN

PUDA

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

AFFormer

AnalyzeKGE

Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion

auto-cot

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

CBGNN

ccnn

Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.

CET

This is the source code for: Context-aware Entity Typing in Knowledge Graphs.

cfqp

Deep Counterfactual Prediction with Categorical Backward Variables

DeepE

The code for paper： DeepE: a deep neural network for knowledge graph embedding

DGNN

Temporal Knowledge Graph Completion by using dynamic and static information

ECE

Dataset and code for COLING2022 paper Event Causality Extraction with Event Argument Correlations

EXAQT

Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"

FedE-1

Source code for the IJCKG 2021 paper "FedE: Embedding Knowledge Graphs in Federated Setting"

gnn-knowledge-graph-completion

Graph Neural Network (GNN) for knowledge graph completion.

KGE-CLv2

Source code for the COLING 2022 paper "KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings".

MSNEA

Multi-modal Siamese Network for Entity Alignment, SIGKDD'22

MultiMAE

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

NPC

OWE

Pytorch code for An Open-World Extension to Knowledge Graph Completion Models (AAAI 2019)

pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

RACE2T

SceneRecognition

10-701 Final Project

SE-GNN

Semantic Evidence aware Graph Neural Network (SE-GNN) for Knowledge Graph Embedding task (AAAI'22).

SimKGC

ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

SKGEM

A Scalable Knowledge Graph Embedding Model for Next Point-of-Interest Recommendation

SPICE

Tab2Onto

Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings

TESTR

(CVPR 2022) Text Spotting Transformers

Twin_Causal_Nets

Estimating the probabilities of caution via deep monotonic twin networks

v-cdn

[NeurIPS 2020] Causal Discovery in Physical Systems from Videos