activity
20132023
most citedDRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

63 citations · 88 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CL2023

Simple Rule Injection for ComplEx Embeddings

Haodi Ma, Anthony Colas, Yuejie Wang +2

Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge. However, they usually cannot avoid…

cs.CL2021

EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation

Anthony Colas, Ali Sadeghian, Yue Wang +1

We introduce EventNarrative, a knowledge graph-to-text dataset from publicly available open-world knowledge graphs. Given the recent advances in event-driven Information Extraction…

cs.LG2021

Partition-Guided GANs

Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li +1

Despite the success of Generative Adversarial Networks (GANs), their training suffers from several well-known problems, including mode collapse and difficulties learning a disconne…

cs.LG2021

ChronoR: Rotation Based Temporal Knowledge Graph Embedding

Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas +1

Despite the importance and abundance of temporal knowledge graphs, most of the current research has been focused on reasoning on static graphs. In this paper, we study the challeng…

cs.LG2019★ 63 cited

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding +1

In this paper, we study the problem of learning probabilistic logical rules for inductive and interpretable link prediction. Despite the importance of inductive link prediction, mo…

q-bio.PE2019★ 2 cited

Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data

Hyun Choi, Ali Sadeghian, Sergio Marconi +2

One of the first beings affected by changes in the climate are trees, one of our most vital resources. In this study tree species interaction and the response to climate in differe…