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Poster
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Wed 9:00
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Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang · Hongyu Ren · Jure Leskovec
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Workshop
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Variational Graph Auto-Encoders for Heterogeneous Information Network
Abhishek Dalvi · Ayan Acharya · Jing Gao · Vasant Honavar
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Expo Demonstration
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Mon 8:00
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Software-Delivered AI: Using Sparse-Quantization for Fastest Inference on Deep Neural Networks
Mark J Kurtz
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Workshop
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DIGS: Deep Inference of Galaxy Spectra with Neural Posterior Estimation
Gourav Khullar · Brian Nord · Aleksandra Ciprijanovic · Jason Poh · Fei Xu · Ashwin Samudre
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Poster
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Tue 14:00
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ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences
Ting-An Chen · De-Nian Yang · Ming-syan Chen
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Poster
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Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu
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Poster
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Tue 9:00
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Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou · Tingyang Xu · Qinliang Su · Yingzhen Li · Peilin Zhao · Yatao Bian
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Poster
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Tue 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Workshop
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Graph Neural Networks for Connectivity Inference in Spatially Patterned Neural Responses
Taehoon Park · JuHyeon Kim · DongHee Kang · Kijung Yoon
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Poster
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Tue 9:00
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Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Yizhou Zhang · Defu Cao · Yan Liu
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Poster
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Wed 9:00
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Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
Hongjoon Ahn · Yongyi Yang · Quan Gan · Taesup Moon · David P Wipf
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Poster
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Thu 9:00
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Iterative Structural Inference of Directed Graphs
Aoran Wang · Jun Pang
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