activity
20192022
most citedCompressing Deep Graph Neural Networks via Adversarial Knowledge Distillation

1 citations · 2 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.AI2022★ 1 cited

Rethinking Graph Convolutional Networks in Knowledge Graph Completion

Zhanqiu Zhang, Jie Wang, Jieping Ye +1

Graph convolutional networks (GCNs) -- which are effective in modeling graph structures -- have been increasingly popular in knowledge graph completion (KGC). GCN-based KGC models…

cs.AI2021

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Zhanqiu Zhang, Jie Wang, Jiajun Chen +2

Query embedding (QE) -- which aims to embed entities and first-order logical (FOL) queries in low-dimensional spaces -- has shown great power in multi-hop reasoning over knowledge…