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Poster
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Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang · Yi.shi Xu · Miaoge Li · Zhibin Duan · Chaojie Wang · Bo Chen · Mingyuan Zhou
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Affinity Workshop
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Reduce False Negative in Distant supervised learning using Dependency tree-LSTM to Construct a Knowledge Graph
Samira Korani
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Workshop
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Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
Yudong Xu · Elias Khalil · Scott Sanner
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Workshop
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NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian · Chuxu Zhang · Zhichun Guo · Xiangliang Zhang · Nitesh Chawla
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Poster
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Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
Haotong Yang · Zhouchen Lin · Muhan Zhang
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Poster
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Wed 14:00
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ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen · Pushkar Mishra · Luca Franceschi · Pasquale Minervini · Pontus Lars Erik Saito Stenetorp · Sebastian Riedel
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Poster
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Wed 9:00
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Neural-Symbolic Entangled Framework for Complex Query Answering
Zezhong Xu · Wen Zhang · Peng Ye · Hui Chen · Huajun Chen
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Poster
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Wed 9:00
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Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge
Tian-Zuo Wang · Tian Qin · Zhi-Hua Zhou
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Panel
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Wed 9:15
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Panel 3C-2: Rethinking Knowledge Graph… & Faster Linear Algebra…
Sandeep Silwal · Haotong Yang
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Workshop
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A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Zifeng Ding · Yunpu Ma · Bailan He · Zhen Han · Volker Tresp
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Workshop
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On the Evaluation of Methods for Temporal Knowledge Graph Forecasting
Julia Gastinger · Timo Sztyler · Anett Schuelke · Lokesh Sharma
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Workshop
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Tabular deep learning when d≫n by using an auxiliary knowledge graph
Camilo Ruiz · Hongyu Ren · Kexin Huang · Jure Leskovec
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