AllAcronyms

AllAcronyms

SimFin

SimFin

Magenta

Magenta

Layoffs

layoffs
business insider
theregister
layoffs and downsizing
layoffers

Google Datasets

Google Datasets

GNN Datasets and Implementations

Citation Networks:

• PubMed
• Cora
• Citeseer
• DBLP

Biochemical:

• MUTAG
• NCI-1
• PPI
• D&D
• PROTEIN

Social Networks:

• Reddit
• BlogCatalog

Knowledge Graphs:

• FB13
• FB15K
• FB15K237
• WN11
• WN18
• WN18RR

Repos:

• Network Repository
• Graph Kernel Datasets
• Relational Dataset Repository
• Stanford Large Network Dataset Collection
• Open Graph Benchmark

Implementations:

• PyTorch Geometric
• Deep Graph Library
• AliGraph
• GraphVite
• Paddle Graph Library
• Euler
• Plato
• CogDL

GNN Models:

• GGNN
• Neural FPs
• ChebNet
• DNGR
• SDNE
• GAE
• DRNE
• Structured RNN
• DCNN
• GCN
• CayleyNet
• GraphSage
• GAT
• CLN
• ECC
• MPNN
• MoNet
• JK-Net
• SSE
• LGCN
• FastGCN
• DiffPool
• GraphRNN
• MolGAN
• NetGAN
• DCRNN
• ST-GCN
• RGCN
• AS-GCN
• DGCN
• GaAN
• DGI
• GraphWaveNet
• HAN

GNN Papers

Deep Fact Checking

In general, a fact verification attempts to obtain supported evidence from text in order to verify claims. The labels can contain "supported", "refuted", or "not enough info" to classify a claim. In many respects, this is a natural language interpretation process of entailments. Some methods in this process may incorporate evidence concatenation or individual evidence-claim pairs. Unfortunately, such methods are limited in sufficiently identifying relational and logical attributes of information from the evidence. In order to integrate and reason over several evidences, one has to utilize a graph network for aggregation and reasoning to enable a connected evidence graph with a means of identifying information propagation. A deep workflow process using deep learning with graphs is one approach. The first step in the process is to use a sentence encoder with Bert. The second step is to combine evidence reasoning with aggregation in a modified graph attention network. DAGs can further be utilized for relation and event extraction representations and linkage.

Text Production Datasets

Data-to-Text Generation

• WikiBio
• WikiNLG
• SBNation
• RotoWire

MR-to-Text Generation (Meaning Representation)

• SR'18
• E2E

Text-to-Text Generation

• Summarization (DUC2001-2005)
• CNN
• DailyMail
• NYTimes
• NewsRoom
• XSum
• Simplification
• PWKP
• WikiLarge
• Newsela
• Compression
• Gigaword
• Automatic Creation of Extractive Sentence/Compression
• MASC
• Multi-Reference Corpus for Abstractive Compression
• Cohn and Lapata's Corpus
• Paraphrasing
• MSRP
• PIT-2015
• Twitter News URL Corpus
• ParaNMT-80
• ParaNMT-50
• MTC
• PPDB